Meta Jobs

Meta designs, builds, leases, and operates the most innovative and efficient data centers in the world. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring high uptime, capacity availability, flexibility and capital and operational cost efficiency. Meta is seeking an experienced, organized, and collaborative Site Selection Leasing Lead to join the Data Center Site Selection team.A qualified Site Selection Leasing Lead candidate has extensive experience negotiating large, complex lease transactions and an extensive knowledge of the legal agreements that accompany them. The Site Selection Leasing Lead has a keen capacity to think both strategically and analytically, develop out-of-the box solutions and is experienced with navigating the challenges that accompany leasing projects and managing a large portfolio of leases.The Site Selection Leasing Lead will manage a small team of Site Selection Leasing Managers and Site Selection Leasing Program Managers focused on leased and colocation data center projects. The Site Selection Leasing Lead develops strategy and directs execution of strategy for the leasing and colocation space. The Site Selection Leasing Lead is responsible for delivering a pipeline of lease and colocation options at various stages of development to meet internal objectives and is responsible for management and administration of existing lease agreements. The Site Selection Leasing Lead also hires, onboards, and performs career development duties for their team. The Site Selection Leasing Lead may perform some individual site selection project work in addition to leading the team.Domestic travel is required (25% or more). **Required Skills:** Site Selection Leasing Lead Responsibilities: 1. Develop Meta's leased and colocation data center location strategy and manage the site selection effort for commercial negotiations and contract administration in that space, including partnering with teams focused on economic development incentives, energy and utilities, network connectivity, legal, policy, and financial considerations 2. Negotiate Master Telecommunication Service Agreements (MTSAs) and Work Orders (WOs), letters of intent (LOIs), Subordination, Non-Disturbance, and Attornment (SNDA) changes of control and other WO-specific agreements 3. Lead feasibility discussions and contract negotiations with service providers, property owners, economic development agencies, and utility companies 4. Partner with internal organizations including capacity planning, energy teams, data center design, construction, network engineering, legal, policy, communications and finance 5. Prepare project location recommendations and present to management for approval 6. Develop portfolio management metrics and tracking mechanisms and interact with external lease management companies, monitor ongoing contractual commitments, and support the expansion of Meta's existing data centers through the negotiation of extensions or renewals 7. Lead development and execution of strategy for the leasing and colocation programs to deliver data center sites at various stages of development in accordance with broader team goals 8. Communicate status of potential lease options and participate in strategic planning 9. Assist with hiring, onboarding and mentoring for the leasing team **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Business, Civil Engineering, City Planning or related 11. Experience leading real estate negotiations including contract formation and contract negotiations 12. 10+ years of experience in site selection and data center or other capital project or infrastructure development 13. Experience at representing business interests to governments (state, county and local), utilities, potential suppliers, and other stakeholders 14. Experience managing large real estate development projects and coordinating with internal staff, consultants, vendors and external stakeholders 15. Experience communicating commercial, market and contractual details to all organizational levels 16. 2+ years of experience in Excel and PowerPoint and/or Keynote 17. 10+ years of experience in data center leasing negotiations and contract management **Preferred Qualifications:** Preferred Qualifications: 18. Experience in hyperscale leased data center negotiations 19. Experience with industrial leases, colocation MTSAs and WOs and BTS contract negotiation and execution in the data center space 20. Advanced technical degree, law degree or MBA **Public Compensation:** $188,000/year to $256,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in New York, NY and will sit alongside our Video Engineering team. As a senior AI leader in NY, you will help lead the buildout of our AI presence in the New York office. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. This is a full-time engineering role based in New York, NY. The Video AI team sits at the heart of our LinkedIn's ambitious growth strategy. Our team is a dynamic group of machine learning experts dedicated to revolutionizing the way we interact with video content. This team is at the forefront of developing cutting-edge artificial intelligence technologies that enhance video understanding, search, and personalization. By leveraging state-of-the-art AI techniques, the Video AI team is poised to open up new ways of engaging with videos on LinkedIn. Our work encompasses a range of applications, from real-time video analytics to intelligent content recommendation systems, positioning our company as a leader in the rapidly evolving landscape of video technology. As LinkedIn continues to revolutionize our market presence, the Video AI team's expertise will be instrumental in shaping our product offerings and achieving our strategic goals, ensuring we stay ahead of the competition and deliver unparalleled value to our 1 billion+ global users. Below are a few examples of the problem spaces we work in (and much more!): • Video Understanding: Building state of the art content understanding models and content embeddings to power all video use cases. • Video Feed Personalization: Identifying the most engaging content and distributing to users. • Video Search: Tackling the multimodal search problem, delivering videos that provide the highest user value. • Video Safety: Safeguarding users from malicious actors and content, building an open and safe community for all. Responsibilities: • Participate in key technical and design discussions with technical leads in the team. • Collaborate with application engineering, product, and partner teams to design machine learning solutions. • Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments. • Attract world class talent and provide technical guidance, career development, and mentoring to team members. Basic Qualifications: • BA/BS in Computer Science or other technical discipline, or related practical technical experience • 7+ years of related industry experience • 5+ year of experience machine learning, data mining, and information retrieval or natural language processing • 3+ years of experience in software engineering/technical engineering management and people management • Hands on experience in data modeling and machine learning Preferred Qualifications: • MS or PhD in Computer Science, Machine Learning, Statistics or related fields • 5+ years of experience in software engineering/technical engineering management and people management • 9+ years of hands on experience in data modeling and machine learning Suggested Skills: Machine Learning People Management Change Management You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $233,000-$315,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. We are looking for Artificial Intelligence interns to work on our massive semi-structured text, graph and user activity data sets. This internship will specialize in Optimization. The role will focus on optimizing AI models and algorithms for performance and efficiency on GPU hardware, enabling LinkedIn to scale and enhance its machine learning applications. As part of this team, you'll work with deep learning frameworks and help drive innovation in high-performance AI systems. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2025 or later. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Our internship roles will be based in Mountain View, CA; or other US office locations. Our internships are 12 weeks in length and will have the option of two intern sessions: • May 27th, 2025 - August 15th, 2025 • June 16th, 2025 - September 5th, 2025 Responsibilities: • Optimize and accelerate machine learning algorithms and AI models using CUDA, ensuring efficient use of GPU hardware for high-performance computing. • Develop and fine-tune GPU-accelerated machine learning solutions that power LinkedIn's large-scale AI applications, including recommendations, personalization, and search. • Collaborate with engineering and AI research teams to implement CUDA optimizations in existing models, enhancing both training and inference speeds. • Conduct research on GPU optimization techniques and apply them to complex machine learning challenges, including deep learning architectures and large-scale data processing. • Stay updated with the latest developments in GPU computing, deep learning frameworks (e.g., TensorFlow, PyTorch), and parallel programming to continuously improve performance. • Work in a highly collaborative environment with mentors, business experts and technologists to conduct independent research and help deliver intuitive solutions to our products and services Basic Qualifications: • Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, with a focus on GPU optimization, or related technical field and returning to the program after the completion of the internship • Experience with CUDA programming, GPU architectures, and parallel computing techniques. • Experience in deep learning frameworks like TensorFlow, PyTorch, and familiarity with their GPU implementations. • Understanding of machine learning and AI algorithms, with hands-on experience in model training and optimization. Preferred Qualifications: • Experience in optimizing large-scale deep learning models for GPU environments, focusing on both training and inference phases. • Experience with NVIDIA GPUs, cu DNN, or other GPU libraries and tools. • Problem-solving skills and ability to work on complex AI optimization challenges in a fast- paced environment. • Publication record in high-performance computing, GPU optimization, or related AI/ML conferences (e.g., NeurIPS, ICML, SC). • Hands-on experience with deploying and scaling GPU-accelerated models in production. • Experience in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Excellent communication skills Suggested Skills: • Machine Learning and Deep Learning • Advanced Data Mining • Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 - $70 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, connecting professionals globally and creating economic opportunities for every member of the workforce. Our commitment to maintaining the highest standards of security and compliance is crucial to building trust with our members and partners. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Job Overview We are seeking a dynamic and experienced Senior Director to lead the Engineering Compliance & Governance team within the Information Security team at LinkedIn. As a key player in our security strategy, you will drive the development and implementation of robust compliance and governance programs, ensuring the security and integrity of our systems and data. Lead the development and implementation of risk management strategies, integrating control compliance. Oversee internal and external audits to assess the effectiveness of security and compliance controls, including, PCI, NIST, SOC 2, ISO, SOX, NFD, MRC, DSA, DMA and AI Governance. Be a trusted advisor to R&D teams to help them build systems that are secure and compliant with applicable laws and regulations Collaborate with cross-functional partner teams (Eng & Product teams, Legal and Financial compliance teams, Sales, etc.) to enhance governance, risk, and compliance frameworks, building strong relationships with LinkedIn and Microsoft stakeholders. Support LinkedIn's enterprise customers across the globe, increasing customer trust through security and privacy consultation and strategically meeting customer security requirements. Key Deliverables and Measures of Success (Next 12 months) Successfully maintain compliance and manage multiple audit regimes annually, including PCI, NIST 800-53, SOC 2, ISO, SOX, NFD, MRC, DSA, DMA, AI Governance and others. Evolve security policy governance and drive development and adoption of security policies, standards, and the common control framework. Further mature risk management by improving the risk management framework. Operationalize business continuity and resilience (BC&R) programs across all of LinkedIn. Continuously evaluate and improve compliance processes and procedures to ensure that they remain effective and efficient over time. Automate engineering controls as well as compliance operations. Automate enterprise customer security and privacy requests through the evaluation of tools and solutions. Basic Qualifications 12+ years of experience in information security & risk governance frameworks and technology operations best practices across Technology and Financial industries. At least 10 years in a senior leadership position managing engineering teams at scale. Proven experience managing data systems at scale, with an emphasis on data quality, governance, and compliance. Expertise in compliance frameworks such as PCI, NIST 800-53, SOC 2, ISO, SOX, NFD, MRC, DSA, DMA and AI Governance. Experience leading compliance teams at similar scale and size of LinkedIn including managing service providers and audit firms Preferred Qualifications Engineering mindset or background. Experience working in collaboration with legal and finance compliance teams to design and implement data compliance solutions. Prior experience working in large-scale cloud or enterprise environments with a strong focus on data security and compliance. Deep knowledge of regulatory technology and trends, especially in relation to data engineering and governance. Strong technical acumen in engineering risk and compliance frameworks. Excellent communication skills. Strong collaborator and executive presence. “Suggested Skills” -Information security -Risk governance -Leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $209,000 to $343,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plan. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Sunnyvale. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 900 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. It is expected that this person understands experimentation and/or machine learning techniques to be able to implement from scratch and have the ability to extend and enhance these techniques to specific applications like business problems. Successful candidates will exhibit technical acumen on inference and algorithms, and the business savviness to use these technical skills to drive better business decision-making. Responsibilities: • Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them. • Analyze large-scale structured and unstructured data. • Conduct in-depth and rigorous data science research, model improvement, advanced experiments, observational causal studies to quantify the cause and effect in the ecosystem, identify business opportunities and to drive member value and customer success. • Develop methodologies to enhance LinkedIn's product and platform capabilities. • Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights • Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. • Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena. • Initiate and drive projects to completion independently • Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals • Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company • Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews Basic Qualifications: • Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. • 3+ years of industry or relevant academia experience • Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) • Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications: • BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience • MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. Suggested Skills • Machine Learning • Research • Causal Inference You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $128,000.00 to $210,000.00 Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options. This means you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or you can work remotely from most locations within the country listed for this role. At LinkedIn, our Foundational AI Technologies (FAIT) organization stands as the innovation epicenter, addressing the fundamental AI challenges and the force behind LinkedIn's next-generation AI-driven member experiences. Our mission spans across the entire marketplace, leveraging our expertise in data curation, algorithm development, and robust infrastructure to spearhead AI innovations. We are dedicated to creating a transformative impact on all LinkedIn products, establishing the platform as a leader in the AI realm. As part of the FAIT team, you will be at the heart of building foundation models that redefines the way LinkedIn understands and interacts with its entities across various marketplaces. While we build these models, we will be processing massive scale LinkedIn data sets and debug the most intrinsic user problems and scientifically challenging model understanding puzzles. You will be driving LinkedIn's AI direction, unblock massive scale projects with your expertise in neural networks and machine learning at the same time interact with partner teams within FAIT and across the company to realize these AI innovations. As a Principal Staff Engineer in the Foundational AI Technologies team, you will act as the primary domain expert, and you will research, develop, build and ship cutting edge AI technologies. You are expected to provide technical leadership, and drive architectural decisions and implementation across the engineering organization. This individual will be a core member of LinkedIn's Foundational AI Technologies team and will partner closely with other verticals in Data and AI, and Infrastructure teams. This is a rare opportunity to lead initiatives at the cutting-edge of Data and AI, which benefits every product and team at Linkedin and over 1 Billion members of the global workforce. Responsibilities Build Foundation Models, customizing it to uniquely comprehend LinkedIn's diverse marketplace entities. Unblock massive scale projects with your expertise in neural networks and machine learning Enhance the AI system's ability to understand LinkedIn members' interests, intents, and behaviors. You will act as the primary domain expert to influence technology choices You will research and develop cutting edge AI technologies You will build and ship scalable software for AI tasks You will drive architectural decisions and implementation across the engineering organization You will provide technical leadership to cross-functional teams and drive alignment on technology strategy You will establish a culture that values diverse viewpoints while navigating complex decisions You will partner effectively with leads (ICs and managers) from other AI teams You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices Lead by example to build a culture of craftsmanship and innovation Be an industry thought leader. Represent LinkedIn in relevant industry forums Basic Qualifications BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience 7+ years of industry experience in software design, development, and algorithm related solutions. 7+ years experience programming languages such as Python, etc. 5+ years in an architect or technical leadership position Background in the following areas: Machine Learning and Artificial Intelligence Preferred Qualifications Experience in bringing large scale AI systems to production. PhD in Computer Science, Machine Learning, Statistics or related fields 8+ years of experience in AI/Data Science and Machine Learning Strong academic credentials with publications in top-tier journals and conferences Background in one or more of the following areas: deep learning, information retrieval, knowledge graph, natural language processing, optimization Experience in building large scale AI models and systems Experience in large language models and deep neural network solutions Demonstrated ability to work with peers in engineering across teams to set technical directions Excellent communication and presentation skills Suggested Skills: Deep learning Machine learning Large language models Data Science Information Retrieval LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. We are seeking an experienced and strategic Director of Traffic Engineering to lead and optimize our global traffic management, DNS, and routing platform initiatives. This role is critical for ensuring high availability, performance, and scalability of our traffic routing systems across a global infrastructure. The ideal candidate will have in-depth expertise in DNS, traffic engineering, and routing platforms, along with hands-on experience working with technologies like Azure Front Door (AFD), Cloudflare, IPVS, Apache Traffic Server (ATS), HAProxy, and various proxy systems. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Key Responsibilities: Define, develop, and execute a comprehensive traffic engineering strategy that supports the scalability and resiliency of our global platform. Drive continuous improvement in performance, reliability, and availability for DNS, traffic routing, and load balancing systems. Collaborate closely with product, engineering, and infrastructure teams to align traffic engineering strategies with business objectives. Oversee the architecture and optimization of traffic routing and DNS systems, including Azure Front Door (AFD), Cloudflare, and custom DNS configurations. Manage and enhance DNS resolution and traffic routing policies to achieve high performance, low latency, and optimal path selection for end users. Lead the deployment and management of geographically distributed traffic management systems to improve load balancing and failover capabilities. Direct the design, deployment, and maintenance of IPVS, Apache Traffic Server (ATS), HAProxy, and other traffic routing platforms to optimize global traffic flow. Implement and monitor proxy systems using Cloudflare and Azure Front Door, ensuring smooth traffic distribution, load balancing, and fault tolerance. Establish robust incident management and troubleshooting processes to address routing, latency, and availability issues in real time. Establish and track key performance metrics, SLAs, and SLOs for DNS and traffic routing systems, proactively identifying areas for improvement. Apply network traffic analysis and telemetry data to optimize load balancing, manage traffic spikes, and anticipate future demands. Drive initiatives for automation, observability, and fault tolerance, with a focus on minimizing downtime and improving MTTR. Lead and mentor a team of traffic engineers, fostering a culture of innovation, accountability, and technical excellence. Work closely with network engineers, SREs, and security teams to ensure a cohesive and secure traffic engineering infrastructure. Stay informed about industry trends and emerging technologies in traffic engineering, DNS, and routing, bringing new insights to the organization. Basic Qualifications: Bachelor's degree in Network Engineering, Computer Science, Electrical Engineering, or a related field. 12+ years of experience in network engineering. Minimum of 8 years in a leadership role 5+ experience managing large-scale, global networks with a focus on performance, availability, and scalability. Experience in networking technologies, protocols (e.g., BGP, OSPF, MPLS), traffic engineering, and load balancing. Hands-on experience with edge networks, CDNs, cloud networking, and SDN (Software Defined Networking). Strong project management skills, with the ability to drive complex projects and meet deadlines in a fast-paced environment. Experience with vendor management, contract negotiations, and managing relationships with global suppliers. Preferred Qualifications: Experience in large-scale cloud or web-scale companies. Familiarity with AI-driven networking technologies and the impact of AI workloads on network performance. Knowledge of data center operations and hardware systems. “Suggested Skills” - Exceptional leadership skills and experience managing large scale global networks -Strong problem-solving and decision-making skills, - Excellent communication and collaboration skills LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Job Description At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid or remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment LinkedIn is looking for a Technical Fellow with expertise in AI to provide thought leadership for engineering organizations. As an AI Technical Fellow at LinkedIn, you will architect and lead the next generation of AI solutions that powers everything LinkedIn does. From consumer to enterprise, from search to recommendation, from optimization to building knowledge graph, LinkedIn relies on innovative AI research and applications that you will help us build. As a key leader in the organization you will lead research, design algorithms, build software, anticipate and influence the state of the art in the industry, and leverage and create open source software in the process. Responsibilities: Lead research in advanced AI, majorly focusing on mid/long-term research topics Envision and develop an AI research agenda that (1) is consistent with LinkedIn's overall strategy; (2) supports a large pipeline of opportunities for which these technologies are critical; (3) addresses major and emerging AI challenges and advances the state of the art Provide senior technical direction to working teams and inspire a larger community from across engineering working on AI. Publish, present, and contribute as a thought leader in the field of AI. Be a talent magnet for LinkedIn. Advise LinkedIn executives on a broad range of technology, strategy, and policy issues associated with AI. Not just develop evidence of the validity and utility of research projects (e.g. through MVP or prototypes), but equally drive and work with relevant engineering teams to design and build the AI components that deliver value to members and customers. Identify problems and opportunities and lead teams to research, architect, design and operationalize AI solutions. Be part of the Data/AI Leadership team contributing to the overall strategy & roadmap considerations Evangelize and inspire best practices across a large AI engineering surface area Establish a culture that values diverse viewpoints while navigating complex decisions Lead by example to build a culture of craftsmanship and innovation. Provide mentorship to our AI talent across the team to help them grow technically and professionally. Assume hands-on leadership, especially when helping teams resolve complex problems Basic Qualifications: PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience 10+ years of relevant work or academic experience Experience leading technical research projects with multiple stakeholders Preferred Qualifications: 15+ years of experience in research and design of AI solutions with at least 5 of those years in a technical or scientific leadership position Experience in designing and implementing large scale AI platforms. Experience in leading large scale AI development projects from concept to multiple releases in production Familiarity with multiple open source machine learning frameworks (pytorch, tensorflow, onnx etc.), and languages (C++, Python, etc.) Experience leading high-impact, cross-company initiatives Established track record of excellence in relevant research areas Suggested Skills: Mentoring Technical Leadership Machine learning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $260,000 to $480,500. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: ************************************* Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Join us as we pursue our innovative new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we're committed to our work, customers, having fun and most importantly to each other's success. Learn more about Splunk careers and how you can become a part of our journey! **Role:** Are you looking to make an impact? The work you will do directly impacts the adoption and optimization of the Splunk platform for some of our most important customers. We bring strategic technical mentorship to the world to make people happier with our software, and just as importantly, we bring the world's needs and wants back to Splunk to make our software better. We also have the chance to see firsthand the phenomenal ways customers use Splunk and adapt our software to include the things that are most impactful. As a DevOps & Observability (APM) Assigned Expert for our Professional Services team, you are passionate about customers and their journey to use Splunk to its fullest capabilities. You will help customers adopt and optimize their environment through consistent touch points and strategic mentorship, ensuring our customers realize the quickest time to value, and maximum return on their investment. You will collaborate with the team and share your inputs as we build standard processes and procedures that enable us to deliver the highest level of service, drive scale and automate key functions. Additionally, you will tackle the resolution of our customer's most complicated problems, including the ones they didn't even know existed. Splunkers are self-motivated and have a steadfast thirst to learn innovative technologies and thrive in constantly evolving environments. As a successful Splunk Assigned Expert you will be adept at understanding, adapting and guiding our customers on how to best use our Platform. Are you up for the challenge? **Responsibilities:** + Strategic execution of adoption and optimization activities in long-term engagements, which includes regular meeting cadence, documentation, and representation of valuable outcomes from your work with customers. + High-quality technical mentorship on Enterprise level architecture, configuration, and optimization work in sophisticated environments for area of field including Splunk Core/Cloud, ITOps, DevOps, and APM + Build, drive, and report on customer success plans + Customer advocacy for key initiatives and discreet needs across the internal Splunk ecosystem + Serve as a dedicated point of contact for customer needs including adoption, optimization, customer success and technical escalations. **Requirements:** **Soft Skills:** + Ability to act as the trusted advisor and product specialist for assigned customers + Able to thoughtfully manage strategic accounts that demand a high level of partnership, negotiation, and conflict resolution + Willingness to stop, collaborate and listen to technical and non-technical consumers from IT administrators to executive level partners + Outstanding written and oral communication skills a must + Listen objectively to others' opinions and ideas applying active listening skills + Strong customer facing skills that instill confidence and provide mentorship towards resolution with high customer satisfaction + Strong validated experience with leadership, business insight, problem solving, critical thinking, project management, and analytical skills + Project management skills and/or certification or demonstrated success in managing competing priorities timely and on-budget + Highly effective at organizing, planning and leading customers through sophisticated change **Technical Requirements:** + 5+ years of current experience in technical consulting or Application Performance Monitoring (APM) + Strong development proficiency in at least 3 of the following programming languages: Java, .NET, PHP, Ruby, Python, Node.JS, Objective-C, Java-Dalvik + Current experience working with Terraform, Kubernetes, Docker + Solid experience working with microservices in cloud environments such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure + Experience working with at least 2 of the following: Nagios, Monit, ELK (Elasticsearch, Logstash, Kibana), Confluence, JIRA, Consul.io, Jenkins, Lambda + Strong open systems application and infrastructure knowledge + Clear understanding of network and system management solutions + Organized with a healthy sense of urgency, able to set; communicate; and meet aggressive deadlines with competing priorities + Experience with both the Unix and Windows operating systems; comfortable on the command line interface + Self-motivated and self-educating, always interested in keeping up with technology and improving oneself + Demonstrable understanding of common enterprise applications (APM, and microservices) + Not required, but a plus: knowledge of Splunk administration or Splunk Platform experience **Location** + This is a remote position **Education:** + Bachelor's degree in a related field or substantial relevant on the job experience Note: **Base Pay Range** SF Bay Area, Seattle Metro, and New York City Metro Area Base Pay Range: $181,200.00 - 249,150.00 per year California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts Base Pay Range: $163,080.00 - 224,235.00 per year All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area. Base Pay Range: $144,960.00 - 199,320.00 per year Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. **In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.** Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at ************************** .

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We're looking for Site Reliability Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure, across both cloud & on-prem environments. Site Reliability Engineers combine engineering experience and an innate drive to improve existing systems and processes, with the creativity to develop novel solutions to evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. You'll be the experts for the environments that you operate infrastructure in, helping partner teams build & configure their software to operate reliably within. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you'll work closely with engineers to advocate and participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Maintaining availability of cloud & physical Linux servers that power the Palantir platform in air-gapped production environments Design, deploy, and operate infrastructure to support customer & product requirements via modern orchestration & monitoring platforms. Collaborate closely with product teams on requirements & SLOs for deploying software into air-gapped environments. Identifying, troubleshooting, and solving network & systems issues Scripting to automate away routine operational tasks What We Value Confidence in troubleshooting complex systems issues independently using stack traces and observability & systems tools Comfort with managing large scale production systems and technologies with configuration management, load balancing, monitoring & alerting infrastructure, and container orchestration Demonstrated ability to continuously learn and work independently, making decisions with minimal supervision while working in secure facilities Experience with containers (Docker/Podman) and orchestration (OpenShift/Kubernetes) at scale is a plus Preferred Certifications: DOD 8570 IAT Level II or greater (CISSP, Sec+), Unix/Linux Computing Environment (e.g Linux+, RHCE) Proficiency with scripting in Python or Go is a plus What We Require Active security clearance or the ability to obtain a clearance 5+ years of experience with Linux system administration (RHEL or equivalent preferred) Experience with cloud-based hosting platforms like AWS, Azure, or GCP and/or experience with hardware-based environments Familiarity with monitoring systems using tools like Prometheus and writing health checks Salary The estimated salary range for this position is estimated to be $125,000 - $185,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance Employees are automatically covered by Palantir's basic life, AD&D and disability insurance Commuter benefits Relocation assistance Take what you need paid time off, not accrual based 2 weeks paid time off built into the end of each year (subject to team and business needs) 10 paid holidays throughout the calendar year Supportive leave of absence program including time off for military service and medical events Paid leave for new parents and subsidized back-up care for all parents Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation Stipend to help with expenses that come with a new child Employees can enroll in Palantir's 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process , please reach out and let us know how we can help. #J-18808-Ljbffr

Oculus Studios and Sanzaru Games are looking for a lead concept artist to join our cutting edge, experienced development team in crafting visually stunning and immersive worlds. As a lead concept artist, you will work directly with department heads to guide the concept art team to create breathtaking concept art. Sanzaru prides itself on crafting interactive content that delivers high quality, immersive experiences that takes players to unimaginable worlds. We firmly believe to accomplish this requires equal amounts of design, art, and engineering. Everyone at Sanzaru is a contributor. This approach allows us to create and develop outside the box, providing unique and rich content for players across the world. Sanzaru has shipped countless titles on almost every platform within almost every genre. And we're not slowing down anytime soon. Sanzaru continues to push the boundaries of interactive entertainment and technology on all fronts. **Required Skills:** Lead Concept Artist - Sanzaru Responsibilities: 1. Manage a team of concept artists, providing guidance, education, and artistic mentorship and feedback. 2. Proactively engage with the head of visual development, lead animators, 3D leads, lead game designers, engineers and writers to define scope and solutions to visual problems. 3. Collaborate with the art director establishing visual goals, objectives and work plans. 4. Proactively engage with production to propose pipelines and schedule tasks according to milestone goals. 5. Create concept art for characters, environments, props, vehicles that align with artistic and game design direction. 6. Research, gather and create reference sheets in collaboration with the Art Director. 7. Prepare and present materials showcasing concept art team materials for internal and external teams. 8. Deliver, request, and accept constructive feedback. 9. Manage artists career growth, providing performance feedback and reviews, conducting regular 1:1s, coaching, and mentoring. 10. Actively support recruitment and team development efforts, participating in interviews, hiring, and onboarding artists. **Minimum Qualifications:** Minimum Qualifications: 11. 5+ years of industry experience managing a team of concept artists working on a game project. 12. Experience collaborating on multi-disciplinary teams in a lead capacity. 13. A thorough understanding of the art and game design pipelines. 14. A portfolio showcasing concept art samples demonstrating solid artistic foundations. Samples should include progress sketches, as well as finished artwork, including key art, as well as character and prop sheets. 15. Experience with software and project management tools such as JIRA, Confluence and Trello. 16. Experience developing and launching a AAA game title. **Preferred Qualifications:** Preferred Qualifications: 17. Familiar with and interested in VR. 18. Experience leveraging UE5 for concept art block-outs. 19. An affinity for games across platforms and genres **Public Compensation:** $149,000/year to $205,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Job Description As a staff member of the Compute Infrastructure team at LinkedIn, you will be charged with building the next-generation infrastructure and platforms for LinkedIn. This is a unique opportunity to work on a high-profile, high-impact ongoing project that will touch every aspect of our engineering organization. Specifically, the LinkedIn Kubernetes Infrastructure team provides an on-premises Kubernetes platform for the entire company. The team provides capability to efficiently create Kubernetes clusters on-demand, build multi-clusters solutions, automate upgrades, and intelligently detect and remediate cluster health, etc. In this role, you will be responsible for designing and implementing solutions that will enable LinkedIn to scale its Compute Infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of experienced engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment. Responsibilities: - You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. - You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind. - You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance - You will communicate with the team, partners and stakeholders. - You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team - You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale - You will diagnose technical problems, debug in production environments, and automate routine tasks Basic Qualifications - BA/BS Degree in Computer Science or related technical discipline, or related practical experience. - 4+ years of industry experience in software design, development, and algorithm related solutions. - 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages - Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs Preferred Qualifications - BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience - Experience in architecting, building, and running large-scale distributed systems - Experience with Kubernetes (or similar) Ecosystem - Experience with Kubernetes controller development, automating cluster management - Golang coding experience - Experience with industry, open source, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice - Experience with open-source project management and governance Suggested Skills: -Distributed Systems -Golang -Technical Leadership You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 to $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

BigBox is seeking an experienced Art Manager to drive the next compute platform of games in mixed reality and mobile. We are looking for a collaborative communicator who loves iteration and technical process. This person will have the desire to understand a product holistically and can contribute creatively, knowing when to be pragmatic and when to be blue sky. This person will make product strategy trade-offs that align with business objectives while embracing teamwork, as well as solve problems.An ideal candidate has hands-on experience as an artist in a game studio, is familiar with game development, engines, tools and best practices, and is interested in managing and growing a team of highly-skilled artists. **Required Skills:** Art Manager Responsibilities: 1. Art Team Coach - Provide specific feedback, balance constructive and negative feedback, and have regular one-on-one meetings 2. Results-Oriented Execution - Focus on helping the team achieve their goals by removing obstacles and being a resource 3. Work with the team to manage day-to-day tasks and communications 4. Work closely with the team's leadership to set high-level goals and direction for our projects and ensure execution is successful 5. Evaluate and implement improvements to the art content pipeline, process, and tools 6. Create and maintain asset delivery schedules and collaborate with producers and leads Managers to keep deliverables on track 7. Effective Communication - Engage in active listening, share information transparently, and encourage open dialogue 8. Coordinate with all disciplines to schedule and track key work development 9. Have a clear vision and strategy for the team - Set clear goals, provide direction, and ensure the team understands how their work fits into the larger picture 10. Leverage art experience and skills to steer team - Work closely with the artists to understand the challenges the team faces and provide informed guidance based on experience and best practices 11. Support career development and discuss performance - Help team members with their career paths, provide growth opportunities, and have regular performance discussions **Minimum Qualifications:** Minimum Qualifications: 12. 8+ years experience leading internal art teams 13. Experience with Maya (or, 3D Studio Max), Photoshop, Perforce, ZBrush, and game engines like Unity or Unreal 14. Experience working with AI models, or working with pipelines that leverage AI in content creation 15. Experience communicating art direction and feedback in an effective, constructive, and efficient manner 16. Understanding of art production, process, pipelines and tools across related disciplines 17. Experience working with outsourcing partners across different locations and time zones. 18. Experience adapting to various communication and work styles 19. Demonstrated history of working well with cross-functional teams and organizations **Preferred Qualifications:** Preferred Qualifications: 20. Experience building content for live service and free-to-play products 21. Interest in working towards AI driven solutions and direct experience working with AI models 22. Experience with User Generated Content tools 23. Experience building games for mobile **Public Compensation:** $149,000/year to $205,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Product Design Prototyper Responsibilities: 1. Work in Software virtual reality (VR) product development process, from conceptualizing the next generation of the VR platform (PC & Mobile) to designing incremental software features. 2. Use a full range of product design, software development, interaction design, and web design skills, including expertise in Unity. 3. Use tools like C/C++, Java, and PHP design, research, prototype, and implement features for incremental changes as well as future interactions of products. 4. Synthesize broad, ambiguous business and accomplish them through design. 5. Contribute to strategic decision, working with Design, Product, and Executive teams and design flows and visuals and individually contribute to the product and feature set. 6. Design interfaces, virtual reality software, and products that will enhance Meta's position in the virtual reality field. 7. Given and solicit real time feedback from other designers to continually raise the quality and craftsmanship of Meta's products. 8. Partner with PMs, engineers, researchers, content strategists, and QA, overseeing the implementation of the user experience from product conception to launch and post-launch design support. 9. Advocate for product design within Oculus and through Meta. 10. Telecommute from anywhere in the US permitted. **Minimum Qualifications:** Minimum Qualifications: 11. Employer will accept a Master's degree in Computer Science, Computer Information Systems, Interactive Media, or related field. Requires completion of a university-level course, research project, internship, or thesis in the following: 12. 1. C, C++, C#, or Java 13. 2. Front-end programming, or building and shipping applications/software 14. 3. Application design, web design, visual design, or interaction design 15. 4. Producing high resolution designs using Photoshop, Fireworks, or Illustrator 16. 5. Prototyping interactive designs using HTML, CSS, JavaScript, PHP, Flash, or Quartz Composer 17. 6. End-to-end hybrid UX or UI product design, from the start of a project to completion 18. 7. Evaluating design tradeoffs using various sources of quantitative or qualitative data 19. 8. Unity, Figma, and Spark Studio. **Public Compensation:** $211,050/year to $223,850/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options. This means you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or you can work remotely from most locations within the country listed for this role. This role will be based in New York, NY and will sit alongside our Video Engineering team. As a senior AI leader in NY, you will help lead the buildout of our AI talent presence in the New York office. The Video AI team sits at the heart of our LinkedIn's ambitious growth strategy. Our team is a dynamic group of machine learning experts dedicated to revolutionizing the way we interact with video content. This team is at the forefront of developing cutting-edge artificial intelligence technologies that enhance video understanding, search, and personalization. By leveraging state-of-the-art AI techniques, the Video AI team is poised to open up new ways of engaging with videos on LinkedIn. Our work encompasses a range of applications, from real-time video analytics to intelligent content recommendation systems, positioning our company as a leader in the rapidly evolving landscape of video technology. As LinkedIn continues to revolutionize our market presence, the Video AI team's expertise will be instrumental in shaping our product offerings and achieving our strategic goals, ensuring we stay ahead of the competition and deliver unparalleled value to our 1 billion+ global users. Below are a few examples of the problem spaces we work in (and much more!): Video Understanding: Building state of the art content understanding models and content embeddings to power all video use cases. Video Feed Personalization: Identifying the most engaging content and distributing to users. Video Search: Tackling the multimodal search problem, delivering videos that provide the highest user value. Video Safety: Safeguarding users from malicious actors and content, building an open and safe community for all. As a Principal Staff Engineer on the Video team, you will act as the primary domain expert and Tech Lead for Video (primarily focused on the AI stack, but you will be providing tech leadership across the entire Video serving stack). You will research, develop, build and ship cutting edge AI technologies. You are expected to provide technical leadership, and drive architectural decisions and implementation across the engineering organization. Responsibilities Lead key technical and design discussions with a team of Product, Platform/Infra, and AI/ML Engineers across the entire Video stack. Provide technical leadership to cross-functional teams and drive alignment on technology strategy Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices Partner effectively with leads (ICs and managers) from other AI teams Attract world class talent and provide technical guidance, career development, and mentoring to team members. Lead by example to build a culture of craftsmanship and innovation Establish a culture that values diverse viewpoints while navigating complex decisions Be an industry thought leader for AI & Video. Represent LinkedIn in relevant industry forums. Basic Qualifications BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience 7+ years of industry experience in software design, development, and algorithm related solutions. 7+ years experience programming languages such as Python, etc. 5+ years in an architect or technical leadership position Background in the following areas: Machine Learning, Artificial Intelligence, Consumer Video Preferred Qualifications Experience in bringing large scale AI systems to production, with an emphasis on Video recommendation systems for Consumer applications. PhD in Computer Science, Machine Learning, Statistics or related fields 9+ years of experience in AI/Data Science and Machine Learning Demonstrated ability to work with peers in engineering across teams to set technical directions Excellent communication and presentation skills Suggested Skills: Video Application architecture Machine Learning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn's vision is to create economic opportunities for every member of the global workforce. It was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Technology leaders collaborate, maintain balance, commit and achieve results - all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community. Job Description At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. As a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn's content products - from feed to videos to news- by employing the latest techniques - from reinforcement learning to generative AI to large-scale deep learning models. You will design strategies for holistic optimization of LinkedIn's ecosystem across all consumer product surfaces to create a cohesive, highly personalized experience for our members. LinkedIn relies on innovative AI research and applications that you will help us build. As a key leader in the organization, you will lead research, design algorithms, build software, anticipate and influence the state of the art in the industry, and leverage and create open-source software in the process. Qualifications Basic Qualifications: PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience 10+ years of relevant work experience Experience leading technical projects with multiple stakeholders Preferred Qualifications: 10+ years experience in building engaging AI-powered consumer products at scale, with at least 5 of those years in a technical leadership position Experience in designing and optimizing recommender systems that create highly personalized experiences for LinkedIn's members and scale to solve complex business problems Experience in leading large scale development projects from concept to multiple releases in production Experience of technical leadership guiding and mentoring engineering and operations talent Experience leading high-impact, cross-company initiatives Dream big. Make big, bold moves to define and build the next generation of products Suggested Skills: * Mentoring * Technical Leadership * Machine Learning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Meta designs, builds, leases, and operates the most innovative and efficient data centers in the world. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring high uptime, capacity availability, flexibility and capital and operational cost efficiency. Facebook is seeking an experienced, organized, and collaborative Site Selection Manager to join the Data Center Site Selection team.A qualified Data Center Site Selection Manager candidate has extensive experience negotiating large, complex deals and an extensive knowledge of the legal agreements that accompany them. The Data Center Site Selection Manager has experience thinking both strategically and analytically, develop out-of-the box solutions and is expert at navigating the challenges that accompany leasing projects and portfolios of large magnitude. Domestic travel is required (50%+). **Required Skills:** Data Center Site Selection Manager Responsibilities: 1. Develop Meta's owned data center location strategy in assigned geography and manage the site selection effort for real estate, including partnering with teams focused on economic development incentives, energy and utilities, network connectivity, legal, policy, and financial considerations 2. Lead feasibility discussions and contract negotiations with service providers, property owners, economic development agencies, and utility companies 3. Negotiate letters of intent, land or building purchases, economic development incentives, water and sewer supply, and other site-specific agreements, support power negotiations 4. Partner with internal organizations including capacity planning, energy teams, data center design, construction, network engineering, legal, policy, communications and finance 5. Prepare project location recommendations and present to management for approval 6. Develop portfolio management metrics and tracking mechanisms and interact with external lease management companies 7. Maintain relationships with communities and service providers in support of Facebook's data center developments, monitor ongoing contractual commitments, and support the expansion of Facebook's existing data centers through the extension of existing agreements or the formation of new agreements **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Business, Civil Engineering, City Planning or related 9. 10+ years of experience in site selection and data center or other capital project or infrastructure development 10. Experience leading real estate negotiations including contract formation and contract negotiations 11. Experience at representing business interests to governments (state, county and local), utilities, potential suppliers, and other stakeholders 12. Experience managing large real estate development projects and coordinating with internal staff, consultants, vendors and external stakeholders 13. Experience communicating commercial, market and contractual details to all organizational levels 14. 2+ years of experience in Excel and PowerPoint and/or Keynote **Preferred Qualifications:** Preferred Qualifications: 15. Advanced technical degree, law degree or MBA 16. Experience in hyperscale data center site selection or leasing negotiations **Public Compensation:** $188,000/year to $256,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back. **Role Summary** The Technical Success Engineer plays a vital role at Splunk and is responsible for ensuring the technical health of our customers. This position requires extensive knowledge of Splunk products to provide mentorship on standard methodologies for Splunk Cloud and Enterprise deployments. The Technical Success Engineer also assists customers in their adoption journey by offering product support, advisory services, and handling critical issues. By fulfilling these responsibilities, this role helps customers improve the value of their Splunk investment while ensuring that their platform is operating efficiently. **What you'll get to do** + Act as a point of contact for technical health issues and partner with escalation management for commercial customers. + Provide mentorship, planning, and recommendations for a customer's overall technical health. + Supervise the overall health of customer environments, which include cases, urgent issues, outages, ongoing projects, possible bugs, and performance of diagnostic health checks as needed. + Advocate internally for customers to facilitate the resolution of issues through coordination of Splunk's internal organizations (technical support, services, sales, product development/management, and executive leadership) + Work with relevant teams to proactively handle customers' critical issues, recommend environment upgrades or add-ons, upgrade readiness, new feature awareness, and maintenance windows. + Be able to detail, communicate, and understand customer needs, so they can be clearly relayed to fellow account team members and Splunk Leadership. + Keep the customer advised of key information that may be essential to their success (e.g. product roadmaps, new product releases, special customer events, or organizational changes) + Proactively analyze customer issues, interactions, and product usage to recommend education and additional services needed then engage with internal teams for delivery. + Assess cloud overages and leverage appropriate services for workload optimization. + Participate in QBRs with customers virtually to review service levels, usage metrics and customer environment performance. + Deliver customer onboarding mentorship, enablement planning, administration, and management workshops. **Must-have Qualifications** + Experience in technical support, professional services, systems administration/engineering or related experience + Experience building customer relationships and handling commercial accounts. + Experienced with customer issues, account/project management, IT Operations, and technical infrastructure. + Familiarity with Splunk-related products + Strong verbal and written communication skills with the ability to communicate technical concepts to non-technical audiences ranging from individual contributors to senior leaders. + Work independently and as part of a team + Occasional travel may be required. + Splunk Architect Certification achieved within 6 months of start + Proficient in English **Nice-to-have Qualifications** We've taken special care to separate the must-have qualifications from the nice-to-haves. "Nice-to-have" means just that: Nice. To. Have. So, don't worry if you can't check off every box. We're not hiring a list of bullet points-we're interested in the whole you. + BA/BS technical degree + Knowledge of software development process and technical environments + Solid understanding of Splunk Core Platform + Other industry certifications from AWS, Google, and Azure **Splunk is an Equal Opportunity Employer** Note: **Base Pay Range** SF Bay Area, Seattle Metro, and New York City Metro Area Base Pay Range: $108,000.00 - 148,500.00 per year California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts Base Pay Range: $97,200.00 - 133,650.00 per year All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area. Base Pay Range: $86,400.00 - 118,800.00 per year Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. **In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.** Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at ************************** .

The Horizon Team at Meta is building a social User Generated Content (UGC) platform where people can find people, places, and things they care about -- a Metaverse without constraints where people have freedom of identity and expression and can experience living virtual worlds that could not exist in the real world. Our vision is to build a global-scale UGC platform where the world's creators, performers, and more will be able to create their place, and enable their communities to connect, engage and play in all kinds of ways. We are driven to create a safe and compelling metaverse for never-ending exploration -- our journey is just the beginning, come join us. As a Technical Game Designer on the Meta Horizon team, you'll be at the forefront of prototyping, designing, and shipping VR-best experiences for the ever-expanding Horizon metaverse. You will work with teams of designers, artists, engineers and more to explore innovative core mechanics and game loops for first-party content across Horizon Worlds. **Required Skills:** Technical Game Designer Responsibilities: 1. Design end-to-end experiences with satisfying and novel core mechanics and loops 2. Create prototypes independently and in collaboration with other designers 3. Help establish preliminary processes to align cross-functional teams 4. Contribute to strategic decisions, working with the Design and Product teams 5. Give and solicit real time feedback from other designers to continually raise the quality and craftsmanship of the product 6. Partner with PMs, engineers, researchers, content strategist & QA, overseeing the implementation of the user experience from product conception to launch - as well as post-launch design support 7. Quickly solve issues with your cross-functional leads including user research, data science, and product management 8. Clearly articulate prototypes, design decisions, and concepts to a vast set of internal stakeholders, 9. Advocate for game design and help us build a great, welcoming, and inclusive game design community within Reality Labs and throughout Meta **Minimum Qualifications:** Minimum Qualifications: 10. 8+ years of game design experience or a minimum of 2 shipped titles on any platform that have been successful (highly rated, critically acclaimed, award-winning, etc.) 11. Experience with technical aspects of game design such as coding in Unity with C# or C++ 12. Experience leading end-to-end development efforts and designing games from concept to launch and live ops 13. Experience coordinating and collaborating with a broad range of cross functional teams to bring a vision to life 14. A portfolio that features some games you have prototyped or shipped, and showcases your game design skills **Preferred Qualifications:** Preferred Qualifications: 15. Experience developing or designing VR or AR games 16. General design knowledge across a range of design specializations 17. Experience in design strategy in addition to fluency in executing such as tuning the feel of the game 18. Experience utilizing research and data to drive strategy and decision making 19. Experience with TypeScript **Public Compensation:** $165,000/year to $231,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.