Member, Technical Staff Jobs in Holmdel, NJ

Education New York, NY (Hybrid) $180,000 - $200,000 + Bonus Company We're partnering with a leading non-profit that addresses educational inequities by delivering outstanding public education through innovative programs, dedicated educators, and community partnerships. Key Responsibilities Develop and execute a long-term technology roadmap to modernize and streamline the tech stack, ensuring scalability, efficiency, and performance Assess current systems, processes, and infrastructure, optimizing where necessary and introducing new solutions to support rapid expansion Identify and implement new technologies that align with business growth and evolving data needs Pitch technology initiatives to the C-suite and key stakeholders, securing alignment and investment for transformation projects Build, lead, and scale a high-performing technology team with the evolving needs of the business Work closely with product, engineering, and business teams to align technology strategy with company goals and operational priorities Requirements Demonstrated expertise in technology transformation, digital modernization, or similar leadership roles Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences Proven ability to develop and execute strategic technology roadmaps, driving long-term innovation and efficiency Deep knowledge of modern IT infrastructure, cloud computing, and enterprise software systems, ensuring scalable and secure solutions Bachelor's degree in Computer Science, Information Technology, or a related field (Master's preferred) The Benefits: A base salary between $180,000 - $200,000 + Bonus and comprehensive health, dental, vision, and 401k benefits How to Apply: Please register your interest by sending your resume to Neha Nidamarti via the Apply link on this page. Key Words: Technology Roadmap, Modernization, Technology Transformation, Strategic Leadership, IT Infrastructure, Change Management, Digital Strategy, Communication

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. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn Marketing Solutions (LMS) is a leader in B2B digital advertising, helping companies deliver the right message, to the right audience, on a safe and trusted platform. Through our suite of innovative advertising solutions, we provide customers high reach and ROI. We're looking for a visionary Sr. Staff Engineer to join our Post-Click Outcomes team, where you'll help drive revenue, help accelerate Partner integrations and optimize Ad supply and Lead Generation. In this pivotal role, you'll collaborate with senior engineering and product leads across the organization to set the bold technical direction and inspire your team to tackle complex challenges. Responsibilities: • You will set direction to platforms that power multiple teams and products • You will deliver impact by driving innovation while building and shipping software at scale • You will provide architectural guidance and mentorship to up-level the engineering organization • You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7 • You will execute on product and technical workstreams by collaborating with engineering, product managers, designers, other software development teams, and business partners • You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies • You will design products/services/tools and code that can be used by others while upholding operational impact of all decisions • You will identify problems and opportunities and lead teams to architect, design, implement and operationalize systems • You will work closely with and influence product and/or technology partners regularly to help define a long-term technology roadmap • You will resolve conflicts between teams within the organization to get alignment and build team culture • You will create a collaborative work environment that fosters autonomy, transparency, innovation, and learning • You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship • You will work with peers across teams to support and leverage a shared technical stack • You will review others' work and share knowledge Basic Qualifications: • BS/BA in Computer Science or related technical field or equivalent technical experience • 5+ years of industry experience in software design, development, and algorithm related solutions • 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala • 2+ years of experience as an architect, or technical leadership position Preferred Qualifications: • MS or PhD in Computer Science or related technical discipline • 10+ years' experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position • 5+ years' experience with large-scale distributed systems and client-server architectures • 10+ years programming experience in an object-oriented programming language such as Java, C/C++ • Experience with large-scale distributed systems and client-server architectures • Experience leading by influence, formulating and driving technical strategies across various organizations • Experience leading a large organization • Experience with B2B advertising • Background working on revenue generating product engineering and an understanding of marketing customer lifecycle • Experience in the design and development of performant, highly available, scalable web applications • Relevant experience working with engineers across multiple skill sets (e.g. Application/Backend, UI/Frontend, iOS/Android/Mobile) • Understanding of common performance patterns and anti-patterns in distributed systems • Active involvement in the creation and execution of technical strategies and roadmaps Suggested Skills: • Technical Leadership • Architectural Mastery • Code Review • Cross-organizational Collaboration • Online Advertising 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 $175,000 - $288,000. 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, benefits and/or other applicable incentive compensation plans. 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: ***************************************

Haptiq is a leader in delivering digital solutions and consulting services that drive value and transform businesses. We specialize in leveraging technology to improve efficiencies and offer comprehensive solutions tailored to meet the unique needs of our clients across various industries. As well as bringing next-generation technology to private capital markets through the Olympus suite of cloud-based solutions designed to empower private equity, and credit funds as well as the firms in which they invest. The Opportunity We are seeking a highly skilled AI Architect to lead the design, development, and deployment of advanced AI and machine learning solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), traditional AI/ML methodologies, and strong Python programming skills. You will collaborate with data scientists, engineers, and product teams to create scalable and innovative AI-powered applications. Responsibilities Design and implement AI/ML architectures, including LLM-based and traditional ML models. Develop and optimize AI solutions for scalability, efficiency, and performance. Evaluate and integrate emerging AI technologies, tools, and frameworks. Collaborate with data engineers to build robust data pipelines for model training and inference. Ensure AI systems align with business objectives and technical requirements. Drive best practices in AI governance and monitoring. Optimize AI models. Stay up-to-date with advancements in AI, LLMs, and ML algorithms. Provide technical leadership and mentorship to software development teams, guiding them on AI architecture and best practices. Evangelize AI capabilities across the organization and provide strategic guidance on AI adoption. Foster a culture of innovation and continuous learning within the AI/ML teams. Advocate for AI-driven solutions and communicate their value to stakeholders. Requirements Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proven experience designing and deploying AI/ML solutions in a production environment. Strong expertise in LLMs (e.g., GPT, BERT, LLAMA) and traditional ML techniques. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools. Knowledge of data engineering concepts, SQL, and NoSQL databases. Strong problem-solving skills and ability to communicate complex AI concepts clearly. Pluses: Experience with AI-driven applications such as chatbots, NLP, and computer vision. Familiarity with vector databases and retrieval-augmented generation (RAG). Understanding of AI security, privacy, and regulatory considerations. Experience with containerization (Docker, Kubernetes) and CI/CD pipelines. Why Join Us? We value creative problem solvers who learn fast, work well in an open and diverse environment and enjoy pushing the bar for success ever higher. We do work hard but we also choose to have fun while doing it. We offer: Flexible work arrangements (including hybrid mode) Great Paid Time Off (PTO) policy Comprehensive benefits package Opportunities for professional growth and development. A supportive, dynamic, and inclusive work environment.

At Ichor Strategies, we're building a SaaS application to expand the scope and scale of our successful business consulting work, which connects companies to the communities they operate in so that they can understand different perspectives, build authentic relationships, and foster mutual success. We're looking for a Principal Engineer to help us go from a prototype to a scalable, extensible data platform. The person who fills this role will drive the architecture of our nascent application and make extensive individual contributions to our codebase. Ichor Strategies presents some rare opportunities for a Software Engineer to work at an organization that is an MBE-certified Black-owned business is truly mission-driven has a truly diverse staff and inclusive culture is one of Crain's top 100 best places to work in NY Reporting to the Director of Engineering, this position is fully remote, with an option to work a hybrid schedule in one of our offices in Brooklyn, Chicago, or Atlanta if you prefer. This position requires a minimum 40-hour workweek and occasional evening and/or weekend work, depending upon the workload. Duties & Responsibilities: Set architectural direction for the data systems that power our application, and help evolve those systems toward that architectural direction. This includes ingestion and processing pipelines, data storage layers including a robust multi-purpose data lake, and a data access layer including materialized views that are optimized for application performance Directly contribute code that is readable, maintainable, and thoroughly tested Incorporate theoretical and practical knowledge of non-functional requirements relevant to distributed data engineering such as scalability, availability, extensibility, testability, etc. Build prototypes and proofs of concepts as needed to aid in technical decision making Adhere to and advocate for software engineering best practices Work to improve and migrate existing code, making deliberate and thoughtful tradeoffs where necessary. Be independently responsible for the entire lifecycle of projects and systems, including design, development, and deployment Collaborate with data engineers, application engineers, and other stakeholders across the organization Break down complex projects into simple systems that can be built and maintained by less experienced engineers Be considered an expert by peers, recognized for high quality and quantity of hands-on technical contributions Mentor and assist other engineers via pair programming, code reviews, knowledge sharing presentations, etc. Improve productivity and velocity across the team by creating tooling, reusable components, streamlined processes, etc. Education & Experience: 10+ years of experience as a professional Software Engineer with a track record for writing robust, extensible, and well-tested code 7+ years of experience building distributed, parallel data processing pipelines which repeatedly and consistently perform complex or novel transformations on big data to generate value and insights presented to customers in a SaaS application 7+ years of experience leveraging tools and infrastructure provided by GCP, AWS, or Azure 3+ years in a position where your code and architectural designs are foundational, setting the standard for excellence for your team or organization Experience at an early-stage startup taking a product from 0 to 1 Skills & Abilities: Deep knowledge and experience with architectures for modern data infrastructure including data lakes, data warehouses, ETL pipelines, physical and logical data formats, data processing systems, data reliability, security, governance, and performance Deep knowledge of different kinds of data stores (row-oriented, columnar, key/value, document, graph, etc.) and their use cases and tradeoffs Proficiency with various big data technologies including some of these: BigQuery, Redshift, Snowflake, Parquet, Avro, Beam, Spark, Flink, GCP Dataflow, AWS Glue, Azure Data Factory Expertise in at least one programming language, with experience in several others (Java preferred but not required) High standards and expectations for software that is thoughtfully and meticulously engineered Excellent written and verbal communication skills Empathy for others About Ichor Ichor Strategies is a management consulting firm specializing in connecting businesses to the communities in which they operate to build impactful strategies that deliver tangible results. We are a trusted advisor to Fortune 100 companies, providing a combination of strategic communications, policy support, and relationships in urban communities. We are a powerhouse team of passionate advisors and experts with a combination of business acumen and cultural fluency, operating at the intersection of urban communities and major corporations. Trusted by those organizations and communities alike, we are uniquely positioned to bridge gaps to progress and unlock powerful opportunities for mutual success. A certified MBE, our diversity powers our ability to access all communities and understand nuances that others might miss. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.

We are looking for a Freelance Manager Textile Technology to support the print technical team for a womens lifestyle brand in New York, New York. This position manages the workflow of artwork, sending artwork to factories overseas, tracking strike-offs and managing timelines to meet milestones and communicating delivery times to cross function partners. Responsibilities: Work closely with manager and team leads Partner with print/graphic designers to get alignment for strike offs approval in order to match design intent Pass off prints, patterns, graphic packages to region and vendors for strike offs requests. Ensure strike offs, handlooms, knit-downs are received in preparation for milestone meetings. Meet with manager and Print/Graphic Designers to review print, pattern, graphics; submit comments on corrections with manager's supervision to mills. Follow all print, pattern and graphics are captured and tracked via seasonal Centric tracking chart as main communication tool with global partners. Deliver print, pattern, graphic approvals on time; inform manager if deadline cannot be achieved. Work with manager and other Print Tech team members to learn printing techniques and limitations based on repeat, special layout for the raw materials and machine limitations. Manage fabric library for strike offs and reference files Knowledge of design layout Prepare artwork to be loaded into flex PLM and issue style numbers Ability to list colors in art Understanding of how art is scaled Knowledge of fabrication & printing restrictions Ensure colors are consistent within a style and collection Identifying artwork errors Work with leads to achieve artwork intention Understanding of markers Time Management; able to meet deadlines Seamless communication with manager Reviewing completed assignments, confirming all criteria met Recognizes the importance of accuracy Required Qualifications: Proficient in Photoshop and Centric PLM Bachelor's degree (preferably with a concentration in apparel production management) or equivalent experience Basic knowledge of printing, yarn dyes, and graphic manufacturing. Ability to excel in high energy environment Detail oriented Ability to multitask If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn. Opportunity Awaits.

About the Role: Stuut is an engineering-driven company on a mission to build the best engineering team and product on the market for B2B financial operations. We are seeking exceptional engineers across the entire stack to join us as part of our founding team. We look for individuals with a broad set of technical skills, who are highly cross-functional, and eager to solve a wide range of engineering challenges. Our ideal candidate has a strong sense of ownership and thrives on owning projects from inception to scaling in production. We're backed by top-tier investors including Khosla, Activant, Vesey, 1984 Ventures and Page One. What You'll Do Drive our technical vision through cross-functional collaboration. Lead discussions and implementation of multiple complex projects. Continuously improve our engineering processes, tools, and systems that allow us to scale our codebase, productivity, and team. Recruit, interview, and develop high-caliber engineers, and foster a culture of excellence, velocity, and humility. Engage with customers to inspire and solve their most challenging problems. What You Need A minimum of 8+ years of software engineering experience, with a proven track record leading and delivering high-quality products at scale. Must have extensive experience with Python and/or Typescript. Strong desire to work at an early-stage company, building systems and processes from the ground up. Willingness to engage directly with customers, understanding their needs, and translating them into engineering solutions. Demonstrated ability to mentor engineering teams, fostering a collaborative and innovative environment. A commitment to continuously grow and master your craft, with a relentless focus on customer pain points and how to address them. Compensation Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you Partially covered for your dependents Equity Flexible PTO Parental Leave

Greylock has a history of investing in category-defining security companies in the enterprise(Palo Alto Networks, Okta, Sumo Logic, Imperva, Skyhigh, Demisto, Sqreen, Abnormal Security, Cato Networks, Censys, Cribl, Obsidian, Opal, and Rubrik). We recently invested in a new cybersecurity startup led by a seasoned team of former engineering and product leaders with decades of experience. This is a rare opportunity to join an experienced team tackling deeply challenging and novel technical problems-this role blends technical expertise, an entrepreneurial mindset, and adaptability. It's an ideal position for someone aspiring to start their own company in the future but hasn't yet found the right idea. This role offers a front-row seat to shaping the company's technology, culture, and long-term success, providing invaluable insights. Additionally, you'll have the opportunity to play a key role in building their New York office The ideal candidate has at least 7 years of industry experience, preferably as a full-stack engineer. However, we are equally open to individuals with a spike in front-end or back-end development. The company's tech stack includes TypeScript, Python, and Go. Since the company is currently in stealth, additional details will be provided to qualified candidates. Stage: Seed Team Size: ~10 Location: New York/San Francisco About Greylock: Greylock is an early-stage investor in hundreds of remarkable companies, including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, and Palo Alto Networks. More can be found about us here: ********************* About the Greylock Recruiting Team: As full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to active and upcoming investments to help them grow/succeed (as one of the many services we provide). Our recruiting team, combined, has over 125 years of in-house recruiting experience at successful startups through FAANG's and over 30 years of VC Talent.

Job Type: Officer of Administration Regular/Temporary: Regular Hours Per Week: 35 Salary Range: $150,000 - $170,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary Founded in 2003, The School at Columbia University is an innovative and inclusive K-8 school with an inquiry-based and progressive pedagogy, comprising children of families affiliated with Columbia University and children of families residing in the surrounding neighborhood. Guided by its mission and four core values-community, collaboration, diversity, and innovation-The School models best practices in K-8 education and engages in University, local, and national partnerships to deliver a unique integrated, thematic curriculum and learning experience to a diverse student body. Reporting to the Head of School, the Director of Technology and Innovation, is a member of the senior administrative team whose charge is to empower the administration, faculty, and student community to respond flexibly and creatively to 21st-century change and place. The School at Columbia at the forefront in the use of emerging technology. The Director will deploy technology, flexible problem-solving, joyful tinkering, and a deep sense of the needs of contemporary children and adults to seamlessly integrate technology, design-based planning, and principles into the school. The incumbent will define and implement technology policies, strategies, and best practices for the school's Technology and instruction support. The Director will also manage the school's student Information Processing Systems and determine what emerging technologies to bring to The School so it can function efficiently as a 21st-century institute. The Director will evaluate The School's use of technology to support its mission, goals, and program. Incorporate technology considerations into strategic planning and create a sustainable financial model for our technology commitments. The Director will work with the senior administrative team to ensure the development, implementation, and evaluation of technology at the school. Regularly investigate and evaluate how emerging technologies impact, or may impact, the sustainability of our academic and financial models. The Director of Technology and Innovation will also explore the uses of technology to improve the efficiency and effectiveness of administrative operations. Establish renewal plans, replacement cycles, and disposal plans for technology equipment. Operate under a clear set of practices/guidelines for maintaining privacy, confidentiality, and security in its use of digital technology. Continue to develop and modify our responsible-use policy that is framed in a positive, flexible format to accommodate changes in technology. The incumbent will provide leadership, coaching, and direction to the educational technologist, librarian, and technical operations team. Responsibilities Educational Technology: Develops the capacity of the teachers and administration through observation, professional development, partner teaching, and collaboration, and collaborates with the Division Heads on professional development for faculty in the realm of technology. Directs, supervises, and evaluates the educational technologists and the librarian. Determines staffing needs including required skill sets, certifications, and advanced degrees. Educates the student, teacher, administration, and parent community about the benefits and challenges presented by technology in the classroom and in daily life. Inspires and stimulates a learning environment that allows the school community, students, and faculty to respond to change in a healthy, proactive, forward-looking way. Collaborates on curriculum development with the Division Heads. Partners with members of the community to articulate mission values and connections between ethics and technology and integrates technology in varied curricula. Build and maintain relationships with cloud service providers, technology vendors, and other strategic partners. Negotiate service level agreements (SLAs) and manage vendor performance to ensure alignment with business objectives. Respects the reality that some teachers need more support to integrate technology than others. Acts as an information point regarding the latest technological developments and trends in education. General Technology: Evaluates and identifies both long and short-term requirements for hardware, software, cloud computing, apps, AV systems, and the vision for The School's information processing systems. Manage the IT security risk assessment process, including the identification, evaluation, and mitigation of risks to the organization's information assets. Collaborate with other departments to integrate security with business processes to minimize risk. Responsible for maintaining technology operations to include systems administration, network management, telecommunications management, system and data security, system and data backup, and emergency recovery plans. Ensures continuous delivery and security of technology services and monitors IT systems performance. Oversees, supervises, and provides guidance and direction to the technical support team to ensure that all faculty and students have access to the appropriate tools for 21st-century learning and that systems are functioning efficiently. Defines, develops, maintains, and implements policies and processes that enable effective information security and ensure technology safety measures are in place for students and staff. Establishes a system of data collection and analysis that provides for continuous improvement of program effectiveness and/or changing needs. Liaises with Columbia University Information and Technology (CUIT) to leverage University assets including partnerships and technology sharing. Other duties as assigned. Minimum Qualifications B.A./B.S. degree in related fields is required. Minimum 7-9 years experience in a school or equivalent setting. Knowledge of a 21st-century curriculum and emerging technologies and their applications. Knowledge of current technology environments including telecommunications, networks, database administration, programming, media, and desktops. Knowledge of G-Suite for Education platform and ability to use/learn to use Google Management Console to support 1:1 Chromebook to student initiative. Strong project management skills and demonstrated ability to plan, organize, and manage programs and projects. Experience in the application of technology to instructional practice (may be substituted in part for the five (5) years of technology management and/or leadership experience). Understanding of software development life cycle (SDLC). Create and maintain documentation for migration plans, software application processes, and workflows. Plan and execute migration of servers, applications, and databases from on-premises environments to cloud platforms (e.g., AWS, Azure, Google Cloud) or between data centers. Ability to design, implement, and manage cloud-based systems to optimize performance and cost. Ability to lead successful teacher development. Demonstrated leadership ability. Strong performance management skills. Experience in project management methodologies and activities including estimating costs, project scheduling, and resource allocation. Has advanced knowledge of Apple products, OSX. Demonstrates a commitment to cultural competence Equity and Justice in their learning and leadership. Excellent written and verbal communication skills to communicate with end users, colleagues, and management. Familiarity with New York City public and private schools. Must have strong communication and interpersonal skills, project coordination experience, and the ability to work well with all levels of internal management and staff, as well as families and outside professionals. Ability to handle multiple priorities simultaneously, and excellent organizational, technological, and follow-up skills. Ability to maintain confidentiality for all communications. Preferred Qualifications A Masters degree in a relevant field is preferred. Fluency in Spanish. If you are passionate about streamlining operations, implementing automation, and improving user experiences, we would love to hear from you. Join The School at Columbia and be part of a dynamic team driving innovation and brilliance. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

The New York City Department of Investigation ("DOI") is one of the oldest law enforcement agencies in the country with a mission of combating municipal corruption. It serves the people of New York City by acting as an independent and nonpartisan watchdog for New York City government, City agencies, and City employees, vendors with City contracts, individuals and entities that receive City funds. The Law Enforcement Technology (LET) Manager will directly oversee the Agency's Advanced Cyber Investigations Division. The Unit's responsibilities include but are not limited to, spearheading cybersecurity-related investigations and conducting OSINT research for investigative staff. In addition, the selected candidate will coordinate assignments between the Digital Forensic Unit, Technology Services Unit, Data Analytics Unit, and eDiscovery Team. A routine day for the LET manager includes supporting a range of confidential investigations by retrieving, reviewing, and examining digital evidence. The candidate must be capable of establishing and preserving a chain of custody for digital evidence, log and secure property in a forensically sound manner, and assist with drafting digital evidence-related subpoenas and search warrants. The selected candidate must be able to participate with a team of investigators and consultants to complete the investigation activity. If selected, the candidate will be fingerprinted and undergo a background investigation, during which the candidate's consumer credit history will be reviewed, as otherwise permitted by NYC Administrative Code 8-107(24)(b)(2)(A). CONFIDENTIAL INVESTIGATOR - 31143 Minimum Qualifications 1. A four-year high school diploma or its educational equivalent approved by a State's Department of Education or a recognized accrediting organization and four years of satisfactory full-time experience in an industrial or governmental agency in the field of investigation, auditing, law enforcement, security, inspections, or in a major operational area of the agency in which the appointment is to be made; or 2.A baccalaureate degree from an accredited college or university; or 3. Education and/or experience equivalent to "1" or "2" above. Preferred Skills -A degree in computer science or Digital Forensics.-Prior law enforcement experience, including active NYS DCJS police or peace status.-Advanced certification in relevant subject matters-Confidence in public speaking and a fluency in delivering presentations Public Service Loan Forgiveness As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education's website at ***************************** Residency Requirement New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. RequiredPreferredJob Industries Other

Job Title: Principal Java/AWS Software Engineer - W2 only - We can provide sponsorship Duration: Long Term *REQUIRED SKILLS* must have experience in migrating data apps to cloud! 1) 8+ years of advanced Java development 2) 3+ years Python development 3) 5+ years of AWS development experience (not interested in other cloud providers for this one)- Will need to know how to migrate API's to the cloud (S3, Route 53, EC2, ECS, API gateway, Cloud Front, Cloud Trail & Lambda) 4) MUST HAVE strong Kafka expertise as the team uses it extensively 5) Postgres is strongly preferred, will also take Oracle or MySQL The Expertise and Skills You Bring Bachelor's degree in Computer Science or similar field, Masters a plus 8+ years of enterprise Java/Spring Boot development, with experience developing applications from the ground up ("greenfield development") Experience working with Artifactory and familiarity with API registries (e.g., Apigee)3+ years Python development and/or scripting 5+ years of AWS development experience (not interested in other cloud providers for this one)- Will need to know how to migrate API's to the cloud (S3, Route 53, EC2, ECS, API gateway, Cloud Front, Cloud Trail & Lambda) Experience with Apache Kafka and other event streaming platforms required Postgres is strongly preferred, will also take Oracle or MySQL Experience with DevOps, Continuous Integration and Continuous Delivery (Kubernetes, Maven, Jenkins, Stash, Ansible, Docker) Experience with Linux, bash is a must Experience executing projects as a team in Agile environments (Kanban and Scrum) Experience in user interface frameworks/platforms (Angular, React, etc.) for 5 or more years a plus Experience using source control for feature-driven development in Bitbucket/Stash/Git Familiarity with automated deployment in uDeploy Ability to learn new things, new technology, and tackle problems Experience with REST microservice architecture

This isn't your typical lateral move. A major global firm is creating a nimble, entrepreneurial banking practice that blends traditional finance with venture tech. Your mission: help define what comes next. Why this role? Shape a groundbreaking practice with institutional backing rather than simply joining an established team. Navigate seamlessly between banking and venture tech environments-perfect for versatile lawyers who resist narrow specialization. Enjoy exceptional career advancement opportunities and mentorship within a proven model that combines institutional strength with entrepreneurial spirit. Top Requirements Are you a versatile finance attorney with 6+ years of commercial finance experience? Ideal candidates will thrive handling diverse transaction types rather than specializing narrowly. Your entrepreneurial mindset, where business development represents opportunity rather than burden, and ability to excel in scrappy, diverse environments rather than rigid hierarchies is crucial. About Whistler Partners Matchmakers, Not Headhunters Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter. We readily admit that we are elite and only work with the best - after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs. Ready to take the next step in your career? Reach out to us today!

Captions is the leading video AI company, building the future of video creation. Over 10 million creators and businesses have used Captions to create videos for social media, marketing, sales, and more. We're on a mission to serve the next billion. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. You'll join an early team and have an outsized impact on the product and the company's culture. We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures (Series C lead), Kleiner Perkins (Series B lead), Sequoia Capital (Series A and Seed co-lead), Andreessen Horowitz (Series A and Seed co-lead), Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Check out our latest financing milestone and some other coverage: The Information: 50 Most Promising Startups Fast Company: Next Big Things in Tech The New York Times: When A.I. Bridged a Language Gap, They Fell in Love Business Insider: 34 most promising AI startups Time: The Best Inventions of 2024 ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role: Captions seeks an exceptional MLOps Research Engineer (MOTS) to architect and scale the machine learning infrastructure for our rapidly growing creative platform used by millions. You'll own the development of our distributed training systems, optimize our rapidly growing GPU clusters, and build performant inference pipelines that power our cutting-edge multimodal video diffusion models. As a key member of our ML Research team in a fast-growing Series C startup, you'll create foundational infrastructure enabling rapid research iteration while maintaining production-grade reliability and efficiency. We're already training large-scale models and are excited to dramatically expand our infrastructure capabilities. Key Responsibilities: Core Systems Development: Develop and optimize distributed training frameworks integrating multiple modalities (video, audio, text, and structured metadata) Build flexible systems for cross-modal training orchestration and efficient experimentation Design reproducible training environments with versioned dependencies and configurations Implement comprehensive testing frameworks for validating model training correctness and performance Create infrastructure for systematic model quality assessment and performance benchmarking Infrastructure Development: Design and implement flexible training orchestration systems that balance research agility with large-scale model training Build robust monitoring and observability systems for complex training and inference pipelines Design and manage GPU clusters optimized for distributed training of multimodal models Build out comprehensive automated metrics collection and alerting across our ML stack System Optimization: Profile and optimize model training throughput using mixed precision, gradient checkpointing, and advanced memory techniques Develop custom CUDA and Triton kernels to accelerate critical compute paths Implement creative solutions for cost optimization across spot instances and reserved capacity Design and optimize real-time inference systems enabling fast research iteration cycles Research & Product Impact: Build infrastructure enabling rapid testing of research hypotheses Create systems supporting close collaboration between infrastructure and research teams Develop frameworks for reproducible research experimentation Enable seamless deployment of research innovations to production Requirements: Technical Background: Bachelor's or Master's degree in Computer Science, Machine Learning, or related field Strong programming skills in Python and systems programming Experience with distributed systems and scalable infrastructure Track record of building reliable, performant large-scale ML systems Areas of Expertise (Strong experience in some or all of these areas): Deep expertise in PyTorch internals and distributed training frameworks (FSDP, DeepSpeed) GPU cluster management and optimization Performance profiling and systems optimization CUDA programming and kernel optimization Containerization and orchestration (Docker, Kubernetes) ML model serving and deployment at scale Language models and attention mechanism optimization Video and audio processing pipelines Large-scale diffusion models Engineering Approach: Love diving deep into complex systems optimization challenges Take ownership of critical infrastructure while collaborating effectively Get excited about pushing the boundaries of ML system performance Want to work directly with researchers on cutting-edge ML problems Thrive in fast-paced, research-driven environments About the Team: You'll work full-time, on-site in our NYC office alongside researchers and engineers who are dedicated to building world-class generative models and data infrastructures. We've intentionally built a culture that prizes open discussion of technical approaches, rapid iteration, and direct access to decision makers. Your success will be measured by the performance and reliability of our systems, enabling our researchers to iterate quickly on and develop ambitious ideas. You'll have significant autonomy to shape our infrastructure direction and direct impact on our ability to serve millions of creators. Our team values: Open technical discussions and collaboration Rapid iteration and practical solutions Deep technical expertise and continuous learning Direct impact on research and product outcomes Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Doordash DashPass subscription Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) Multiple team offsites per year with team events every month Generous PTO policy and flexible WFH days Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

About Us: Modal is building the serverless compute platform to support the next generation of AI companies. In order to deliver the developer experience we wanted, we went deep and built our own infrastructure-including our own custom file system , container runtime, scheduler, container image builder, and much more. We're a small team based out of New York, Stockholm and San Francisco. In just one year, we've reached 8-figure revenue, tripled our headcount, scaled to support thousands of GPUs, and raised over $32M in funding. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Requirements: 5+ years of experience writing high-quality production code Experience building high-performance distributed systems at a large scale (the more battle scars, the better) Strong cloud skills Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) Ability to work in-person in our NYC or Stockholm office. Prior experience with Rust is nice to have, but not required.

About Basis Basis equips accountants with a team of AI agents to take on real workflows. We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment. Built in New York City. Read more about Basis here. Why join World class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross and many leaders from the ML and fintech community. Check out our announcement for an expansive list Extremely fast growth: We've partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 months Be part of building a company: We're scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1 In person & interdisciplinary: We operate on the frontier of what's technically possible. That is why being in-person is a must. We're bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systems High risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begun Compensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too 📍 Location: NYC, Flatiron office. In-person team. About the role As a leader on our Data Modeling team, you'll be responsible for designing and building the world that our AI systems interact with. We are looking for engineers with experience modeling interconnected systems, developing coding abstractions, and designing/debating the trade-offs and constraints of a system. In this role, you will set the context and rules in which our AI agents operate. How do we model and explain accounting to an agent? What does the agent need to know about accounting at any given stage? What are the constraints of navigating the accounting world? What we look for Experienced: 5+ years of developing complex systems (Python preferred); open to exceptional candidates with fewer years and evidence of exceptional ability First principles reasoner: Able to break complex concepts down to their fundamental elements and then build from there Leader: Knows what needs to get done and how to get there Interdisciplinary : Willing and interested to jump across multiple disciplines Company-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scale Eagle-eyed: Spots and recruits engineering talent Collaborative: Dedicated to mentoring others and open to being mentored in return Passionate: Genuinely excited about our tech and its impact on accounting, finance, and the economy Curious: Loves to play with new ideas/tech Office lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYC All-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generously In accordance with New York State regulations, the salary range for this position is $100,000-$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

We're assisting a well-funded AI-Powered Accounting & Finance Platform startup with their search for ML & Agent Design Engineers to work on the system of agents that complete workflows. The role will work onsite in their NYC office and they're hiring multiple engineers in this capacity. What you'll do: Design, build, and iterate on the agent that performs accounting workflows Prototype different architectures to solve increasingly complex tasks Develop ML approaches to solve optimization problems Ideal Candidate Traits: 5+ years of experience developing complex systems (Python preferred) First principles reasoner: Able to break complex concepts down to their fundamental elements and then build from there Leader: Knows what needs to get done and how to get there Interdisciplinary: Willing and interested to jump across multiple disciplines Company builder: Excited to lay the groundwork, technically and culturally, as they rapidly scale Eagle-eyed: Spots and recruits engineering talent Collaborative: Dedicated to mentoring others and open to being mentored in return Passionate: Genuinely excited about the tech and its impact on accounting, finance and the economy Curious: Loves to play with new ideas/tech

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? As a Member of Technical Staff on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. You'll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You'll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! In this role, you will: * Own and build large new areas within our product. * Work across backend, frontend, and customize Large Language Models. * Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations. * Work across the entire product lifecycle from conceptualization through production. This career opportunity may be a good match for you if you have: * 3+ years of model training, deployment, and maintenance in a production environment. * Strong skills in NLP and deep learning. * Experience scaling products at hyper-growth startup. * Strong written and verbal communication skills. * Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences. Nice to have skills/experiences: * Experience improving LLM performance for custom domains via fine tuning or RLHF. * Experience in Information Retrieval systems for document question answering. * Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). * Published research in areas of machine learning at major conferences and/or journals. If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend ️ 6 weeks of vacation Note: This post is co-authored by both Cohere humans and Cohere technology.

New York, NY (Hybrid) $190,000 - $210,000 + bonus We are working with a fast-growing non-profit organization dedicated to transforming learning environments through innovative technology, and they are seeking a Director of Technology Transformation to drive their technology roadmap. Key Responsibilities: Develop and execute a comprehensive technology transformation roadmap that aligns with the organization's strategic goals. Lead efforts to modernize existing systems and implement new technologies to drive operational efficiency and innovation. Collaborate with cross-functional teams to ensure seamless integration and adoption of technology solutions. Effectively communicate your vision and technical roadmaps to both technical and non-technical stakeholders. Continuously assess technology performance, identifying opportunities for process improvement and enhanced performance. Requirements: Proven experience in technology transformation, digital modernization, or similar leadership roles. Exceptional communication skills with the ability to articulate complex technical concepts to diverse audiences. Strong strategic planning and execution capabilities, with a track record of developing and implementing technology roadmaps. In-depth knowledge of modern IT infrastructure, cloud environments, and enterprise software systems. Bachelor's degree in Computer Science, Information Technology, or a related field (Master's preferred). The Benefits: This role offers a competitive base salary of $190,000 to $210,000, performance-based bonuses, and a comprehensive benefits package including health, dental, and vision coverage, 401(k) matching, and professional development opportunities. How to Apply: To apply, please submit your resume via the link provided. Key Words: Technology Transformation, Strategic Leadership, Modernization, IT Infrastructure, Change Management, Digital Strategy, Hybrid, NYC, Director, Communication, Roadmap

Captions is the leading video AI company, building the future of video creation. Over 10 million creators and businesses have used Captions to create videos for social media, marketing, sales, and more. We're on a mission to serve the next billion. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. You'll join an early team and have an outsized impact on the product and the company's culture. We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures (Series C lead), Kleiner Perkins (Series B lead), Sequoia Capital (Series A and Seed co-lead), Andreessen Horowitz (Series A and Seed co-lead), Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Check out our latest financing milestone and some other coverage: The Information: 50 Most Promising Startups Fast Company: Next Big Things in Tech The New York Times: When A.I. Bridged a Language Gap, They Fell in Love Business Insider: 34 most promising AI startups Time: The Best Inventions of 2024 Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role: Captions is seeking an exceptional Research Engineer (MOTS) to advance the state-of-the-art in large-scale multimodal video diffusion models. You'll conduct novel research on generative modeling architectures, develop new training techniques, and scale models to billions of parameters. As a key member of our ML Research team, you'll work at the cutting edge of multimodal generation while building systems that enable natural, controllable video creation. We're already training large-scale models with demonstrated product impact, and we're excited to continue expanding the scope and capabilities of our research. We're especially excited about pushing the boundaries of audio-video generation, with a focus on realistic and charismatic human behavior that enables natural storytelling and creative iteration. Our models power creative tools used by millions of creators, and we're tackling fundamental challenges in how to generate compelling human motion, expression, and speech. Key Responsibilities: Research & Architecture Development: * Design and implement novel architectures for large-scale video and multimodal diffusion models * Develop new approaches to multimodal fusion, temporal modeling, and video control * Research temporal video editing techniques and controllable generation * Research and validate scaling laws for video generation models * Create new loss functions and training objectives for improved generation quality * Drive rapid experimentation with model architectures and training strategies * Validate research directly through product deployment and user feedback Model Training & Optimization: * Train and optimize models at massive scale (10s-100s of billions of parameters) * Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron-LM * Design and implement model surgery techniques (pruning, distillation, quantization) * Create new approaches to memory optimization and training efficiency * Research techniques for improving training stability at scale * Conduct systematic empirical studies of architecture and optimization choices Technical Innovation: * Advance state-of-the-art in video model architecture design and optimization * Develop new approaches to temporal modeling for video generation * Create novel solutions for multimodal learning and cross-modal alignment * Research and implement new optimization techniques for generative modeling and sampling * Design and validate new evaluation metrics for generation quality * Systematically analyze and improve model behavior across different regimes Requirments: Research Experience: * Master's or PhD in Computer Science, Machine Learning, or related field * Track record of research contributions at top ML conferences (NeurIPS, ICML, ICLR) * Demonstrated experience implementing and improving upon state-of-the-art architectures * Deep expertise in generative modeling approaches (diffusion, autoregressive, VAEs, etc.) * Strong background in optimization techniques and loss function design * Experience with empirical scaling studies and systematic architecture research Technical Expertise: * Strong proficiency in modern deep learning tooling (PyTorch, CUDA, Triton, FSDP, etc.) * Experience training diffusion models with 10B+ parameters * Experience with very large language models (200B+ parameters) is a plus * Deep understanding of attention, transformers, and modern multimodal architectures * Expertise in distributed training systems and model parallelism * Proven ability to implement and improve complex model architectures * Track record of systematic empirical research and rigorous evaluation Engineering Capabilities: * Ability to write clean, modular research code that scales * Strong software engineering practices including testing and code review * Experience with rapid prototyping and experimental design * Strong analytical skills for debugging model behavior and training dynamics * Facility with profiling and optimization tools * Track record of bringing research ideas to production * Experience maintaining high code quality in a research environment About the Team: You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where technical innovation and research excellence are highly valued - your success will be measured by your contributions to improving our models and advancing the field, not by your ability to navigate politics. We're a team that loves diving deep into complex technical problems and emerging with practical breakthroughs. * Our team values: * Open technical discussions and collaboration * Rapid iteration and practical solutions * Deep technical expertise and continuous learning * Direct impact on research and product outcomes * What sets us apart: * Opportunity to advance the state-of-the-art in video generation * Direct impact on products used by millions of creators * Access to massive compute resources and diverse, large-scale datasets * Environment that values both research excellence and practical impact * Ability to validate research through direct product feedback Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Doordash DashPass subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy and flexible WFH days Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? As a Member of Technical Staff on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. You'll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You'll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! In this role, you will: Own and build large new areas within our product. Work across backend, frontend, and customize Large Language Models. Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations. Work across the entire product lifecycle from conceptualization through production. This career opportunity may be a good match for you if you have: 3+ years of model training, deployment, and maintenance in a production environment. Strong skills in NLP and deep learning. Experience scaling products at hyper-growth startup. Strong written and verbal communication skills. Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences. Nice to have skills/experiences: Experience improving LLM performance for custom domains via fine tuning or RLHF. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). Published research in areas of machine learning at major conferences and/or journals. If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑 💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend ✈️ 6 weeks of vacation Note: This post is co-authored by both Cohere humans and Cohere technology.