Scientist Jobs in Orinda, CA

Backed by T1 AI investors (Andreeson Horowitz), you will join a crack research team of ex Skolkovo Institute of Science and Technology, Stanford, Google, Intel, Salesforce) to build a multimodal text to video application for real-time retail. They are playing in a $13 trillion industry and are reacting to fashion's landscape, shaped by a relentless pursuit of speed, creativity, and the continuous renewal of trends. Most brands are hindered by manual workflows, juggling disparate tools. This startup has anticipated a tech shift to unlock lengthy creative bottlenecks and level the landscape for all. Enter Generative AI. As a senior applied scientist, you will have deep skills in fine-tuning foundational multi-modal text to video models (or fine-tuned existing ones). At the bare minimum, you know how a foundational model works from ideation to implementation! Having a diffusion background is preferred, but we can riff with you if you come with a GANs background. We're also happy if you've done some cool things with image generation or image editing. We have just raised significant investment from big AI players, with a burn rate of 7 years, and a single-digit million ARR, just ask about the existing client list. Offices in NYC & SF!

Applied Scientist of Formal Methods Are you passionate about pushing the boundaries of AI and formal verification? Acceler8 Talent is looking for an Applied Scientist to join a startup team working at the intersection of automated reasoning and AI. In this role, you'll contribute to the development of cutting-edge neuro-symbolic AI systems that leverage the power of formal verification and modern machine learning techniques. As an Applied Scientist of Formal Methods, you'll design and implement innovative formal verification tools and techniques, prototype and validate neuro-symbolic reasoning approaches and develop high-performance systems based on your validated prototypes. Collaborating closely with researchers and engineers, you'll tackle complex verification challenges and make a significant impact on the future of AI-powered verification. A strong candidate will have: Strong background in formal methods and automated reasoning (e.g., SAT, SMT, model checking, logic, and automata) Proficiency in writing production-quality code in statically typed languages like C++, Rust, or Java Experience with rapid prototyping, ideally in Python Demonstrated expertise in algorithm design and implementation Exceptional problem-solving and analytical abilities Preferred Qualifications: PhD in Computer Science, Mathematics, or a related field with a focus on formal methods (or equivalent deep expertise) Experience with hardware verification languages and standards (e.g., SystemVerilog, PSL, SVA) Familiarity with modern machine learning techniques and frameworks

Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you

Note: This is a full-time, on-site opportunity in San Francisco, CA (no remote). Our investment is an early-stage BCI wearable tech startup employing an innovative mix of generative AI with recent breakthroughs in material science (patent-pending) for SOTA electronic consumer devices. They are seeking an RF Antenna Scientist to join their dynamic team. This role focuses on antenna research to develop novel antenna designs for on-body biosensing. The ideal candidate will have expertise in metamaterials and electromagnetic simulations. Responsibilities: • Assist in the design and development of innovative metamaterial-based antenna systems and elements for wearable bio-sensing applications • Perform computational electromagnetic simulations and develop new models using industry-standard software tools (e.g., CST, XFDTD). • Analyze and interpret simulation results, providing insights and recommendations for design improvements. • Collaborate with cross-functional teams to integrate antenna designs into larger systems. • Participate in experimental validation and testing of antenna prototypes. Requirements: • PhD (recently graduated is acceptable) in Electrical Engineering, Physics, or a related field with a strong focus on antennas and/or computational electromagnetics. • Strong theoretical and practical understanding of antenna theory and electromagnetic wave propagation. • Proficiency in computational electromagnetic simulation tools (e.g., CST, XFDTD). • Experience with programming languages such as Python, or similar for data analysis and automation. • Excellent problem-solving skills and the ability to work independently and as part of a team. • Independent work ethic, flexibility, and resourcefulness. • Effective communication and collaboration skills. • Comfortable in a fast moving startup environment, excited to build independently. About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: ********************* How We Work: We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

Simular is a research-heavy technology company on a mission to achieve fully autonomous computers. We start with the brain of autonomous computers, aka. agentic AI that can use computers like a human. This is our definition of what AGI should first look like. Founded by Ang Li and Jiachen Yang, Simular harmonizes human and AI intelligence to empower humans. Based in Palo Alto, CA, Simular develops AI agents that automate mundane tasks so you can reclaim your time and energy for what truly matters. Role Description This is a full-time on-site role for an AGI Scientist located in Palo Alto, CA. The AGI Scientist will lead the development and implementation of advanced AI infrastructure, models and algorithms aimed at creating General Artificial Intelligence. Responsibilities include conducting cutting-edge research, experimenting with novel AI techniques, collaborating with cross-functional teams, integrating heavily into production and publishing high-impact findings in scientific journals. You will play a key role in shaping the future of AI to enhance productivity and innovative capabilities. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Computer Systems, or a related field Hardcore, can hack to make impossible things possible Top coder, Comfortable creating and working with large scale complex AI systems/infrastructure Comfortable with failing, and failing a lot of times

Voltai's mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the world's most complex technologies-semiconductors and electronics. About the Role We're looking for a Machine Learning Research Scientist who thinks crazy ideas are normal, doesn't take ‘No' as an answer, and thrives on the bursts of dopamine that come with startup responsibilities. As a Machine Learning Research Scientist, your ultimate goal will be to conduct cutting-edge research and build AI systems that deeply understand and innovate within the semiconductor and electronics domains, serving our customers 🙌. You will be responsible for developing new models, experimenting with novel architectures, and advancing the state of the art in AI for the semiconductor and electronics industries. Your work will involve both theoretical research and practical implementation, including designing and optimizing models, creating advanced algorithms, and publishing groundbreaking research. Key Responsibilities: Conduct original research in machine learning and AI with a focus on models that integrate multiple modalities. Develop, train, and fine-tune large language models (LLMs) and multi-modal models (MMMs). Explore and scale trillion-parameter neural networks, along with smaller, specialized models. Design and implement models capable of solving discrete and continuous constraint reasoning tasks and graph-related challenges. Develop and evaluate interconnected systems comprising LLMs, NLP models, and retrieval algorithms. Publish research findings in top AI conferences and journals, contributing to the academic and industry community. Collaborate with cross-functional teams to translate research outcomes into practical applications. Innovate and create data synthetically and collect it from human interactions for diverse tasks. Lead efforts in optimizing both open-source and proprietary models, considering various constraints. Required Skillsets: Strong background in machine learning, including sequence modeling, generative models, and model architecture. Expertise in Pytorch, Python, CUDA, and Triton. Proven research experience with a strong publication record in top AI conferences and journals. Deep understanding of pre-training and fine-tuning large multi-modal models. Experience implementing research papers into production code. Familiarity with the latest state-of-the-art techniques, including prompting and inference-time search methods. Experience in developing and managing large-scale machine learning systems. Proficiency in configuring and optimizing hardware and operating systems for maximum performance. Experience building distributed training systems for AI models in high-performance computing (HPC) clusters. Compensation Philosophy At Voltai, we believe that exceptional work deserves exceptional rewards. Our compensation structure is designed to reflect the value each team member brings to our pioneering efforts in the semiconductor and AI industries. For this role, we offer a highly competitive market-rate salary, tailored to the candidate's experience, expertise, and potential impact. Our approach ensures that compensation aligns with individual contributions and the long-term success of our mission. Our Benefits At Voltai, we believe in taking care of our team so they can focus on pushing the boundaries of innovation. Our benefits package is designed to support your well-being and fuel your professional growth. Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked. Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered. Commitment to Your Growth: At Voltai, we're dedicated to your continuous learning and development. Whether it's through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field. Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.

We're seeking a dynamic artificial intelligence scientist and machine learning expert to join our incredible technology team at Cairns Health. This role sits at the crossroads of conversational AI, radar technology, hardware integration, and neural networks. You'll play a pivotal role in the success of our product, starting with the development and refinement of our proprietary algorithms that leverage radar signals for vital signs detection, while exploring opportunities across our tech stack for innovation opportunities. Our ideal candidate is a proactive problem solver with a hands-on approach to coding and a positive, can-do attitude. About Cairns Health Cairns Health (*********************** is creating a fundamentally better healthcare experience for people with chronic health conditions and those who care for them. We make healthcare more accessible by simplifying complex care plans, connecting care teams and meeting patients where they live. Through our conversational AI, patients use their voice to interact with our digital care companion, who proactively gives medication reminders, symptom checks, behavioral nudges and even engages in friendly conversation to ease loneliness. Cairns uses a device that includes radar to put the patient in context and passively monitors their activities, including: heart rate, breathing rate and sleep stages, all without a wearable. The result is informed and timely intervention that drives improved clinical outcomes, reduced care delivery costs and a more satisfactory healthcare experience for all. Duties & Responsibilities Own and enhance our algorithms for vital signs detection. Develop methodologies for data collection and analysis of algorithm performance. Explore opportunities for innovation through signal processing and data analysis. Collaborate with a team of accomplished, high-performing engineers. Gain hands-on experience with embedded software and our hardware stack. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field or equivalent practical experience, coupled with 5-7 years of professional experience as an AI scientist or in a similar role. Proficient in modern machine learning and AI techniques, including neural networks. Experience with deep learning toolkits including torch, tensorflow, Jax Experience and proven track record in model architecture design, model training end to end from concept to deployment Experience with standing up and maintaining data pipelines generally and in the context of IoT / sensor networks specifically Familiarity with digital signal processing techniques (previous radar data experience a plus). Proficient in Python and/or C++ for model development/implementation. Familiarity with quantization of models and deploying on the edge. Familiarity with AWS or other cloud environments. Strong problem-solving and analytical abilities to tackle complex technical challenges. Positive, team player with strong people skills and excellent communication. Benefits We offer competitive compensation, equity & benefits - including medical, dental, vision and paid vacation/sick days and 401(k) plans. Location Preference for candidates located near Sunnyvale, CA. To Apply Please apply via LinkedIn and then send your resume and cover letter to: *************** and answer the following questions: This role works 4 days in office from Sunnyvale, CA. Are you based near the office or willing to relocate? What are your salary expectations? What professional experience do you have in machine learning (specifically Torch, TensorFlow)?

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA writing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. Multiple openings are available on a rapidly growing team. As an early team member, you will have the opportunity to contribute to strategic planning and future hiring. If you are interested in building a new frontier in genetic medicine, please apply via LinkedIn or through our website (*************** We are seeking a skilled AAV Production Senior Research Associate/Associate Scientist to join our growing team. This role involves leading and executing all aspects of AAV production, with a focus on downstream optimization to enhance viral yield, quality, and consistency. The ideal candidate will bring extensive expertise in AAV production across adherent and suspension cell platforms and demonstrate a proven track record of optimizing protocols for scale-up, purification, and workflow efficiency. This role requires a collaborative spirit and the ability to work across teams to support AAV production and characterization. Key Responsibilities AAV Production and Process Development Develop and scale AAV production processes, including IOX gradient purification and affinity column purification, for increased yield and optimized turnaround. Perform cell culture for AAV production (adherent and suspension). Operate bioreactors, AKTA systems, pumps, mixers, and automated buffer exchange systems to streamline and automate purification workflows. Continuously improve purification methods (e.g., AKTA tandem purification) to automate and streamline multi-sample processes. AAV Characterization and Assay Development Run AAV potency, biodistribution, transduction efficiency, and immunofluorescence assays to evaluate AAV performance in mammalian cell lines. Perform dd PCR, sequencing, and ELISA-based assays for quantitative and qualitative characterization of AAV vectors, including titer, purity, and genome integrity assessments. Conduct in-depth analysis on AAV stability, aggregation, and particle-to-infectivity ratios to refine vector quality and consistency Collaborate on optimizing purification and buffer exchange protocols to enhance yield, purity, and formulation stability across multiple AAV serotypes. Support upstream cell culture scale-up with a focus on consistent AAV quality and reproducibility for downstream characterization assays. Inventory, Documentation, and Workflow Management Manage lab inventory, ensuring timely ordering of supplies and efficient use of resources. Maintain accurate records and data using platforms such as Benchling Workflow; author SOPs, testing summaries, and production batch records. Produce AAV lots to support research and preclinical studies, ensuring all production steps meet quality and consistency standards. Collaboration and Training Train and guide team members in AAV production techniques. Support viral transduction for in vitro and in vivo applications. Collaborate with cross-functional teams to meet project goals, and advance novel vectors into pipeline. Lead troubleshooting efforts for production challenges and ensure compliance with established protocols. Qualifications Education: Bachelors or Masters in Molecular Biology, Biochemistry, Virology, or a related field, or equivalent experience. Experience: 4+ years of hands-on industry experience in AAV production, preferably with both adherent and suspension HEK293 cells. Proven track record in scale-up production and purification processes. Technical Skills: Proficiency with AKTA, bioreactors, molecular biology techniques (DNA/RNA/protein isolation, cDNA synthesis, RT-PCR, qPCR, digital PCR, western blot, and immunofluorescence). Leadership: Demonstrated ability to manage and mentor team members in a production environment. Analytical Skills: Strong troubleshooting and optimization skills for viral vector production. Preference will be given to those who display: High motivation, with a strong work ethic and dedication to generating impact Attention to detail, with the ability to extract deep insights from data Ability to go from ideation to data in an independent fashion Long-term personal vision with defined career goals High EQ with team-oriented thinking Demonstrated excellence in small team environments, including a “no task is too small” attitude If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn or through our website (*************** Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

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 (from Bay Area, New York City, Seattle/Bellevue) 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's Jobs Marketplace is a complex ecosystem that requires a thorough understanding of demand and supply dynamics. With our recent investments in Agents and Language Models (LLMs) and improvements in our auction design, our product landscape and success metrics are changing significantly. We need a technical and strategic tech lead to achieve the following goals: 1. Enhance system understanding and operational excellence through AI explainability and interpretability. 2. Boost job seeker engagement and revenue by identifying gaps and opportunities in our AI system. 3. Improve AI systems and business metrics that align with customer, seeker, and LinkedIn value. 4. Gain a deeper understanding of competitor pricing and ROI to inform both R&D and go-to-market strategies. Responsibilities Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company via data driven solutions 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. Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or strategy Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer success Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business and product insights Design and analyze experiments to test new product ideas or go to market strategies. Convert the results into actionable recommendations. Independently craft compelling stories; make logical recommendations; drive informed actions. Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights. Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews Drive org-wide impact by shaping product and business strategy through data-centric storytelling and presentations Act as a champion for a data-driven culture, evangelizing best practices both with LinkedIn and among the local and global data science community. Basic Qualifications •B.S. Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. •5+ years experience with SQL or relational database query performance, and at least one programming language (e.g., R, Python, Scala) •2+ years experience in an architect or technical leadership position Preferred Qualifications •10+ years of overall experience with at least 5+ of those years leading teams technically •Experience influencing strategy through data-centric presentations •Experience in applied statistics and statistical modeling in at least one statistical software package •Experience telling stories with data and visualization tools •Experience running platform experiments and techniques like A/B testing •Ability to work with multiple stakeholders, understand the product priorities, think with the big picture and solve core problems in the most efficient way •Experience with manipulating massive-scale structured and unstructured data •Proven record writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs ••Experience mentoring other data scientists in an official or unofficial capacity •Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives •Demonstrated thought leadership; experience publishing publicly visible research papers and/or speaking at conferences. MS or PhD in a quantitative discipline: Statistics, Economics, Applied Mathematics, Operations Research, Computer Science, Informatics, Engineering, etc. Suggested Skills: •Data Science •Experimentation •Causal Inference •Scala •Python LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $162,000 to $267,000. 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. 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SEAL Research Scientist, Agent Robustness As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding large language models (LLMs). Safety, Evaluations and Alignment Lab (SEAL) is Scale's frontier research effort dedicated to tackling the challenging research problems in evaluation, red teaming, and alignment of advanced AI systems. We are actively seeking talented researchers to join us in shaping the landscape for safety and transparency for the entire AI industry. We support collaborations across the industry and academia and the publication of our research findings. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: Research the science of AI agent capabilities and methodologies for benchmarking them; Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment; Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use; Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents. Ideally you'd have: Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. Practical experience conducting technical research collaboratively, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes. A track record of published research in machine learning, particularly in generative AI. At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development. Strong written and verbal communication skills to operate in a cross functional team. Nice to have: Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax. Experience in crafting evaluations or a background in data science roles related to LLM technologies. Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. The base salary range for this full-time position in the location of San Francisco is: $176,000 - $300,000 USD About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. #J-18808-Ljbffr

Perplexity is seeking experienced AI Research Scientists to continue to improve our in house Online LLMs, the Sonar models. Your job is to turn research ideas into algorithms and implement them, running experiments and launching new models, and staying on top of the latest research on LLMs, especially model training and optimization. Responsibilities Understand the newest models and algorithms coming every week, especially in post-training. Invent in-house improvements and optimizations to enhance SOTA models. Post-train LLMs on query answering by using the latest in supervised and reinforcement learning techniques. Work closely with engineering teams to integrate Sonar models into our product. Qualifications Proven experience with LLM research and Deep Learning systems. Strong programming skills; versatility is a plus. Self-starter with a willingness to take ownership of tasks. Passion for tackling challenging problems. Minimum of 6 years of working on relevant projects. Nice-to-have PhD in Machine Learning or related areas. Experience in academia publications and impact. The cash compensation range for this role is $220,000 - $290,000. At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers. To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity is part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan. Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Website LinkedIn Profile Will you now or in the future require visa sponsorship for employment? * Select... Are you open to a hybrid work schedule (In office M-W-F) * Select... Are you located in the San Francisco Bay? * Select... If you do not live in the San Francisco Bay Area, are you willing to relocate? Select... #J-18808-Ljbffr

Charge Robotics is a Series A startup building robots that build solar farms. Demand for new solar projects is booming (1/5th of all the solar that exists in the US was installed last year!), but today's construction companies can't keep up due to limited labor resources. We thought this was insane, so we started working on robots to directly address this bottleneck and speed up the world's transition to renewables. Charge is a fast-moving company which means constant opportunities for learning and growth. You'll have a large impact on the direction of our company and our product, which will be reflected in significant equity compensation. And you get to work with 🤖 giant robots 🤖. If you are excited to work on interesting technical problems with direct climate impact, you're going to fit right in at Charge Robotics. Charge's funding: We're MIT-founded and backed by some of Silicon Valley's top investors, including Lux, YC (S21), Uphonest, Collab, E14, Outset, and more. What you'll be working on: Mechanical build and assembly for robots that build solar farms, following work instructions and technical drawings Support, documentation, and data organization of software validation testing on robot arms Execute on R&D test plans; including building testers, documentation, and reporting Shop organization and maintenance Promoting a culture of safety As an R&D Engineering Technician at Charge Robotics, you'll play a major role in building, testing, and deploying our next generation of solar installation robots. You: Have strong written communication skills Pay attention to detail and have strong documentation skills Have the ability to work independently in a fast-paced environment Have familiarity with tools It'd also be nice if you: Have experience in a lab or research setting Have experience with soldering, wire harnessing, and electrical debugging Have experience with pneumatics and actuators

The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models towards their deployment in the real world. OpenAI's charter calls on us to ensure the benefits of AI are distributed widely. Our Health AI team is focused on enabling universal access to high-quality medical information. We work at the intersection of AI safety research and healthcare applications, aiming to create trustworthy AI models that can assist medical professionals and improve patient outcomes. About the Role We're seeking strong researchers who are passionate about advancing AI safety and improving global health outcomes. As a Research Scientist, you will contribute to the development of safe and effective AI models for healthcare applications. You will implement practical and general methods to improve the behavior, knowledge, and reasoning of our models in these settings. This will require research into safety and alignment techniques that we aim to generalize towards safe and beneficial AGI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and apply practical and scalable methods to improve safety and reliability of our models, including RLHF, automated red teaming, scalable oversight, etc. Evaluate methods using health-related data, ensuring models provide accurate, reliable, and trustworthy information. Build reusable libraries for applying general alignment techniques to our models. Proactively understand the safety of our models and systems, identifying areas of risk. Work with cross-team stakeholders to integrate methods in core model training and launch safety improvements in OpenAI's products. You might thrive in this role if you: Are excited about OpenAI's mission of ensuring AGI is universally beneficial and are aligned with OpenAI's charter. Demonstrate passion for AI safety and improving global health outcomes. Have 4+ years of experience with deep learning research and LLMs, especially practical alignment topics such as RLHF, automated red teaming, scalable oversight, etc. Hold a Ph.D. or other degree in computer science, AI, machine learning, or a related field. Stay goal-oriented instead of method-oriented, and are not afraid of unglamorous but high-value work when needed. Possess experience making practical model improvements for AI model deployment. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Are a team player who enjoys collaborative work environments. Bonus: possess experience in health-related AI research or deployments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

Marathon Fusion is building the fuel cycle for fusion energy. We're accelerating the commercialization of critical technologies to ensure the safe and economic deployment of fusion energy at sufficient speed and scale to achieve climate impact. Our work requires a willingness to adapt to rapidly changing circumstances and shifting priorities, while keeping an eye on the long-term goals that ultimately drive success. Navigating this environment necessitates effective communication across roles and backgrounds, a high degree of trust between team members, and the willingness to learn and develop new skills on the job. We place particular weight on a team member's ability to be self-directed and proactive. In your first year at Marathon, you'll: Get up to speed on state-of-the-art tritium processing systems Perform design work on cold plasma sources integrated into key fusion supporting components, and test these devices in the lab Craft technical roadmaps alongside our internal and external collaborators Push forward novel approaches to fuel processing relevant to near-term fusion power plants The ideal candidate will meet most of these requirements: A graduate degree in plasma physics Proficiency at data analysis and presentation. Excellent written and oral communication skills. Willingess to travel for conferences and client site visits. Eager to learn about the tritium fuel cycle and related technologies Excited to think broadly and at a systems-level about the requirements on the fuel cycle driven by confinement physics and vice-versa Basic operational grant management skills. Marathon Fusion considers all qualified applicants equally for employment. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. #J-18808-Ljbffr

Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence. At the core of Hedra Studio is our Character-3 foundation model, the first omnimodal model in production. Character-3 jointly reasons across image, text, and audio for more intelligent video generation - it's the next evolution of AI-driven content creation. Note: At Hedra, we're a team of hard-working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start-up experience and be a self-starter that is driven to build impactful products that change the status quo. You must be willing to work in-person in either NYC or SF. Overview: We are looking for an Applied Research Scientist with a specialization in model fine-tuning to join our team. This role involves taking our pre-trained 3DVAE and video diffusion models and adapting them to specific tasks or datasets to achieve optimal performance. The ideal candidate will have a deep understanding of transfer learning and fine-tuning techniques in the context of generative models. Responsibilities: Fine-tune pre-trained 3DVAE and video diffusion models for specific applications, such as generating videos for particular AI agent tasks, ensuring adaptability to new datasets. Develop and implement strategies for efficient model adaptation, such as data augmentation or transfer learning, to optimize performance. Evaluate and compare the performance of different fine-tuned models, using metrics relevant to video generation. Collaborate with the research team to understand the requirements and objectives of each fine-tuning task, ensuring alignment with business needs. Document and communicate findings to the team and stakeholders, facilitating knowledge sharing and decision-making. Qualifications: PhD or Master's degree in Computer Science, Machine Learning, or a related field, with a focus on model adaptation. Strong background in deep learning, with a focus on generative models, and experience with model fine-tuning and transfer learning techniques, crucial for adapting models to new tasks. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow, essential for implementation. Excellent problem-solving and analytical skills, given the need to evaluate and iterate on model performance. Good communication and teamwork skills, as collaboration is key in a startup environment. This role is focused on applying and refining existing models rather than developing new ones, ensuring practical deployment. Benefits: Competitive compensation and equity 401k (no match) Healthcare (Silver PPO Medical, Vision, Dental) Lunch and snacks at the office We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team. #J-18808-Ljbffr

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a societal impacts research scientist at Anthropic, you'll join a team conducting empirical research on AI's effects across society. You'll help develop and apply novel measurement systems to understand AI's real-world impact, while working to ensure these powerful technologies benefit humanity. Our team combines rigorous empirical methods with creative technical approaches. We're currently grappling with big questions in three key areas on how AI might impact: the economy, peoples' wellbeing, and education. Additionally, we are continuously studying socio-technical alignment (what values do our systems have?), and evaluating novel AI capabilities as they arise. We develop privacy-preserving tools to measure AI's effects at scale, conduct mixed-methods studies of human-AI interaction, and translate research insights into actionable recommendations for both product and policy. Note: We are only open to hiring in San Francisco for this team. Responsibilities Design and conduct empirical studies to understand AI's societal effects, ranging from large-scale quantitative analyses using privacy-preserving measurement systems (like Clio) to qualitative investigations of human-AI interaction. Develop novel methodological approaches for studying AI systems' real-world impacts, including creating new evaluation frameworks, measurement tools, and analysis techniques. Lead research projects across our key focus areas: Economic impact: Studying how AI affects labor markets and the future of work. Health & wellbeing: Investigating AI's effects on health and human relationships. Education & epistemics: Examining AI's influence on learning and cognition. Socio-technical alignment: Ensuring AI systems embody appropriate values and studying how these values relate to real-world behavior. Technical evaluation: Assessing emerging AI capabilities and developing improved measurement methods. Collaborate with cross-functional teams to translate research insights into concrete product improvements and policy campaigns. Communicate findings through research publications, policy briefs, and presentations to diverse stakeholders. Contribute to the development of measurement infrastructure and evaluation frameworks that enable systematic study of AI's societal effects. You May Be a Good Fit If You Have Experience conducting empirical research on socio-technical systems, particularly studies that combine quantitative and qualitative methods. Strong technical skills, including: Proficiency in Python, prompt engineering, and data science. Experience building technical evaluations of AI systems. Fine-tuning large language models. A desire to do whatever it takes to get the research done, including writing code, debugging code, and pair programming with others. Track record of leading research projects from conception to publication, including: Identifying important research questions. Designing rigorous studies. Developing new methodological approaches when needed. Effectively communicating findings to diverse audiences. A desire to go above and beyond publications in order to translate research into real world impact. Expertise in one or more of our focus areas (economics, health/wellbeing, education, alignment, evaluation methods). Comfort working with AI systems and ability to think critically about their capabilities and limitations. Strong interest in ensuring AI development benefits humanity. Ability to collaborate effectively with teams across technical research, policy, and product development. Some Examples of Our Recent Work Clio: Privacy-Preserving Insights into Real-World AI Use Measuring the Persuasiveness of Language Models Evaluating feature steering: A case study in mitigating social biases Collective Constitutional AI: Aligning Language Models with Public Input GlobalOpinionQA: Measuring Representation of Global Values in Language Models Discrimination in Language Model Decisions: Evaluation and Mitigation Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Additional Information For this role, we're open to candidates interested in either a 6-month research residency or a full-time position. The residency track includes the expectation of conversion to full-time for successful residents. Deadline to apply: None. Applications are reviewed on a rolling basis. The expected salary range for this position is: Annual Salary:$280,000-$425,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. #J-18808-Ljbffr

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content. Key responsibilities: Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content Design and conduct rigorous experiments to validate new ideas and evaluate model performance Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences Contribute to the research community through high-quality publications and open-source contributions Mentor junior researchers and foster a culture of innovation within the research team Work closely with product teams to align research directions with user needs and market opportunities Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Must have: Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models Extensive experience implementing and optimizing large-scale generative models for image or video tasks Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Proven ability to work collaboratively in a team environment Ideal candidate will have: Postdoctoral or industrial research experience in generative AI for video Hands-on experience with text-to-video generation projects Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video Experience working with large-scale datasets and distributed computing environments Track record of successful collaboration with product teams on technology transfers Familiarity with video codecs, compression techniques, and perceptual quality metrics Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish. #J-18808-Ljbffr

Use machine-learning, applied computer science, and techniques from high performance computing to develop and refine compilers and frameworks for reducing engineering complexity and time to market of mobile applications. An ideal candidate will have: practical experience or a degree in computer science, mathematics, physics, or a related discipline a demonstrated capacity to do first-class research strong computer programming skills Experience in mobile is not required. Location: San Francisco, CA / Remote To submit resumes or ask questions, email **************************. No telephone inquiries, please. Peoples Grocers is an equal opportunity employer. #J-18808-Ljbffr

About the Role As a societal impacts research scientist at Anthropic, you'll join a team conducting empirical research on AI's effects across society. You'll help develop and apply novel measurement systems to understand AI's real-world impact, while working to ensure these powerful technologies benefit humanity. Our team combines rigorous empirical methods with creative technical approaches. We're currently grappling with big questions in three key areas on how AI might impact: the economy, peoples' wellbeing, and education. Additionally, we are continuously studying socio-technical alignment (what values do our systems have?), and evaluating novel AI capabilities as they arise. We develop privacy-preserving tools to measure AI's effects at scale, conduct mixed-methods studies of human-AI interaction, and translate research insights into actionable recommendations for both product and policy. Note: We are only open to hiring in San Francisco for this team. Responsibilities Design and conduct empirical studies to understand AI's societal effects, ranging from large-scale quantitative analyses using privacy-preserving measurement systems to qualitative investigations of human-AI interaction. Develop novel methodological approaches for studying AI systems' real-world impacts, including creating new evaluation frameworks, measurement tools, and analysis techniques. Lead research projects across our key focus areas: Economic impact: Studying how AI affects labor markets and the future of work. Health & wellbeing: Investigating AI's effects on health and human relationships. Education & epistemics: Examining AI's influence on learning and cognition. Socio-technical alignment: Ensuring AI systems embody appropriate values and studying how these values relate to real-world behavior. Technical evaluation: Assessing emerging AI capabilities and developing improved measurement methods. Collaborate with cross-functional teams to translate research insights into concrete product improvements and policy campaigns. Communicate findings through research publications, policy briefs, and presentations to diverse stakeholders. Contribute to the development of measurement infrastructure and evaluation frameworks that enable systematic study of AI's societal effects. You May Be a Good Fit If You Have Experience conducting empirical research on socio-technical systems, particularly studies that combine quantitative and qualitative methods. Strong technical skills, including: Proficiency in Python, prompt engineering, and data science. Experience building technical evaluations of AI systems. Fine-tuning large language models. A desire to do whatever it takes to get the research done, including writing code, debugging code, and pair programming with others. Track record of leading research projects from conception to publication, including: Identifying important research questions. Designing rigorous studies. Developing new methodological approaches when needed. Effectively communicating findings to diverse audiences. A desire to go above and beyond publications in order to translate research into real world impact. Expertise in one or more of our focus areas (economics, health/wellbeing, education, alignment, evaluation methods). Comfort working with AI systems and ability to think critically about their capabilities and limitations. Strong interest in ensuring AI development benefits humanity. Ability to collaborate effectively with teams across technical research, policy, and product development. Some Examples of Our Recent Work Clio: Privacy-Preserving Insights into Real-World AI Use Measuring the Persuasiveness of Language Models Evaluating feature steering: A case study in mitigating social biases Collective Constitutional AI: Aligning Language Models with Public Input GlobalOpinionQA: Measuring Representation of Global Values in Language Models Discrimination in Language Model Decisions: Evaluation and Mitigation Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Additional Information For this role, we're open to candidates interested in either a 6-month research residency or a full-time position. The residency track includes the expectation of conversion to full-time for successful residents. Deadline to apply: None. Applications are reviewed on a rolling basis. #J-18808-Ljbffr