Research scientist jobs in San Rafael, CA - 1,878 jobs

### As a research scientist with Martian, you will develop new techniques to understand how AI models work. This work will focus on exploring and improving a technique we call “model mapping”: converting transformers into more interpretable representations (such as programs). We are looking for people who can develop and scale up methods for making transformers more interpretable through model mapping and then understanding the transformers in the new domain we map to. Full details can be found here. #J-18808-Ljbffr

Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world‑class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry‑generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles) and Fei‑Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab). Join us and leave your mark on the future of robotics, AI, and global commerce. Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values: Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. The Role Nimble is looking for an AI Robotics Research Scientist to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision‑Language‑Action Models, general‑purpose robotic AI models, and reinforcement learning algorithms controlling multi‑agent robot fleets. You will play a critical role in working with our all‑star cross‑functional team to build models with immediate applications for the world's biggest robotics opportunity. Responsibilities Develop and train diffusion policies, VLMs, multi‑agent deep RL policies and more Develop data collection pipelines Design data annotation and labeling Support implementation of models into production systems Qualifications P.h.D in Robotics or Computer Science Experience training deep learning models for robotic manipulation or mobility Experience working with real robotic hardware Experience training models in simulation and developing simulation environments Experience collecting custom datasets Experience training on open‑source datasets Strong track record of publishing papers and/or deploying real‑world applications Experience with system architecture, design and development Additional Requirements Must be able to work extended hours and weekends as needed Must be able to work in San Francisco $180,000 - $250,000 a year The above range is the salary range. This position will also receive generous equity for this position. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully-paid parking spots. Referral Bonus Get a cash bonus for any friend or colleague that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program. #J-18808-Ljbffr

About Hedra 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. At Hedra, we're a team of hard-working, passionate individuals seeking to fundamentally change content creation and build a generational company together. We value startup energy, initiative, and the ability to turn bold ideas into real products. Our team is fully in-person in SF/NY with a shared love for whiteboard problem-solving. Overview We are seeking a highly motivated Research Scientist to push the limits of long-form video generation, with a focus on auto-regressive modeling, causal attention mechanisms, and efficient sequence handling. The ideal candidate will have a deep understanding of temporal modeling in generative AI and experience building scalable architectures for multi-minute coherent video outputs. Responsibilities Design and implement long video generation architectures, with emphasis on auto-regressive generation, causal attention, and memory-efficient transformer designs. Develop methods for maintaining temporal and semantic coherence over long time horizons. Work closely with engineering to integrate research into production-grade pipelines. Stay on top of recent advances in long-context transformers, sequence compression, and scalable video generation. Present results internally and externally, including possible top-tier conference submissions. Qualifications PhD or strong research/industry experience in Computer Science, Machine Learning, or related fields, with a focus on sequence modeling or generative models. Deep understanding of transformer architectures, attention mechanisms, and auto-regressive modeling. Experience with long-context processing and memory-efficient computation. Proficiency in Python and PyTorch; ability to rapidly prototype and iterate on new architectures. A record of impactful research or large-scale system deployments. Benefits Competitive compensation + 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 meet every requirement - we value curiosity, creativity, and the drive to solve hard problems. #J-18808-Ljbffr

A pioneering AI security company located in San Francisco is seeking a Research Scientist to develop and enhance cutting-edge agent and machine learning security techniques. The ideal candidate will have expertise in Python and various LLM libraries, with a passion for innovation in a fast-paced startup environment. This role offers a competitive salary and the opportunity to work on groundbreaking AI solutions. #J-18808-Ljbffr

About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non‑invasive, ultrasound‑based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting‑edge hardware, software, and research capabilities to create products that can benefit millions - and eventually billions - of people. We've brought together a team of the best, who believe hard things are worth doing. To succeed, we need to assemble world‑class teams across everything we do. We hire people who are exceptional at their craft, do the real work, and execute relentlessly - people who expect the highest levels of both rigor and integrity from each other. About the role As a research scientist focused on rodent behavior and neural imaging at Nudge, you will: Design and execute experiments in rodents to characterize the effects of ultrasound neuromodulation on brain circuits and behavior Collect and analyze behavioral and neural data, with techniques such as electrophysiology, calcium imaging and/or fiber photometry Develop and validate experimental paradigms linking neural activity changes to behavioral and physiological responses with clinical relevance Optimize ultrasound stimulation parameters for specific brain circuits and cell types to achieve targeted neuromodulation Translate preclinical findings to inform human neuromodulation studies About you PhD or postdoc in neuroscience, biomedical engineering or similar engineering discipline Exceptional proficiency in ultrasound neuromodulation, functional ultrasound neuroimaging, optogenetics, electrophysiology, two‑photon microscopy, or fiber phototometry in animal models Experience with automated behavioral tracking and analysis or computational analysis of neural + behavioral data Experience designing experiments informed by ultrasound physics and acoustic field modeling is preferred Demonstrated history of exceptional technical contribution #J-18808-Ljbffr

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About The Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We Expect You To Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Be excited about OpenAI's approach to research. Nice To Have Interested in and thoughtful about the impacts of AI technology. Past experience in creating high-performance implementations of deep learning algorithms. 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. #J-18808-Ljbffr

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A leading AI science company in San Francisco is seeking an Applied Scientist to tackle complex marketing measurement challenges. The role involves designing innovative algorithms and collaborating with clients to ensure accuracy at scale. Ideal candidates will have at least 5 years of experience in research code and a strong mathematical background, including causal inference. The compensation ranges from $235K to $258K, with equity offers and the chance to work with cutting-edge technology in a dynamic startup environment. #J-18808-Ljbffr

Fund & Co-Investment Research Associate About Allocate Allocate is transforming private market investing by enabling wealth advisory firms to seamlessly build and manage high-quality private market programs. About the Role We're seeking a Fund & Co-Investment Research Associate to join our Private Investments team. This isn't a traditional allocator role, as you'll be a critical connector between world-class fund managers, wealth advisory CIOs, and help build and manage our technology platform. You'll evaluate venture capital and private equity opportunities, conduct manager diligence, and spend significant time with wealth advisor investment teams discussing curated deals. You need to deeply understand opportunities, answer sophisticated questions, and provide clear, accurate analysis that helps clients make confident investment decisions. Equally important, you'll own the completeness and accuracy of our platform content, ensuring all investment materials, copy, and compliance documentation stay current. Key Responsibilities Investment Research & Diligence: Conduct quantitative and qualitative research on private market managers and co-investment opportunities across venture capital, private equity, and adjacent asset classes. Prepare balanced investment analysis and recommendations. Client Engagement: Spend substantial time with wealth advisor CIOs and their investment teams discussing curated opportunities. Field detailed questions, articulate investment theses, and provide real-time analysis that demonstrates deep command of each deal. GP Relationship Development: Build and maintain relationships with fund managers, including structuring conversations, access discussions, and ongoing partnership development. Platform Completeness: Own platform content integrity-ensure investment materials are updated, copy is accurate and compliant, and all client-facing documentation metour quality standards. Sourcing & Pipeline Development: Proactively source differentiated fund and co-investment opportunities through targeted outreach, industry relationships, and market intelligence. Cross-Functional Collaboration: Partner with product, technology, and operations teams to refine platform capabilities and enhance the client investment experience. Portfolio Monitoring: Support post-investment updates, quarterly reporting, and ongoing portfolio analytics for client transparency. Market Intelligence: Develop insights and content that position Allocate as a leading voice in private markets. Qualifications Experience & Knowledge: 3+ years of experience in venture capital, private equity, wealth management, investment banking, or related fields. Deep industry knowledge of the VC/PE ecosystem, fund structures, and how institutional platforms operate. Strong understanding of private markets and alternative investments. Skills & Attributes: Hustler mentality: Proactive, resourceful, and self-directed-you don't wait to be told what to do. Exceptional communication: You can explain complex investment concepts clearly and handle sophisticated Q&A with institutional allocators. Highly personable: You build authentic relationships with both GPs and wealth advisory teams. Commercial mindset: You think about client needs, platform scalability, and growth. Startup DNA: You thrive in fast-paced environments, embrace ambiguity, and move quickly. Meticulous attention to detail: You ensure accuracy and compliance across all materials. Analytical excellence: You combine quantitative rigor with qualitative judgment. Not a Fit If You're: A pure allocator looking for a traditional fund-of-funds seat. More comfortable with analysis only role than relationship-building and client engagement. Seeking a slow-paced, process-heavy environment. Unfamiliar with how technology platforms operate. Why Allocate? Shape the infrastructure layer for an entire industry. Ability to immediately work with top VCs and PE firms, along with CIOs in the wealth advisory world. Allocate is one of the fastest-growing platforms in private markets. Palo Alto office in the heart of the venture ecosystem. High impact, high visibility work with real ownership and autonomy. Additional Information Location: Palo Alto, CA. Must be able to work in-office 4 days a week. Compensation: $160K-$200K base + bonus + stock equity. Benefits: Medical, dental, vision, 401(k), responsible time off. Employment: Full-time. Compliance: This role is subject to Allocate's Code of Ethics and all related compliance obligations. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Must have legal authorization to work in the U.S. now and in the future without visa sponsorship. #J-18808-Ljbffr

An innovative AI startup in San Francisco is looking for a Foundational AI Research Scientist to pioneer next-generation large-language-model architectures. Ideal candidates will have a deep understanding of sequence modeling architectures, expertise in PyTorch, and experience in pre-training large language models. Join a dynamic team to help shape the future of intelligent human-machine interfaces. #J-18808-Ljbffr

The Center for Brain and Health (CBH) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The research scientist will be a key member of a multidisciplinary team responsible for collection of multimodal brain data, including MR imaging, MEG, EEG, and eye tracking. The tentpole of the CBH is the first normative brain database in the region, featuring structural, functional, diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires. The anticipated appointment start date is May 1, 2026, with a guaranteed term of 18 months and the possibility of renewal based on performance. Responsibilities Explore scientific questions related to the normative brain database. Conduct data collection and processing of multimodal MR imaging, MEG, EEG, and eye tracking. Apply big‑data analysis techniques and advanced computational methods to brain imaging data. Collaborate with the multidisciplinary research team. Contribute to peer‑reviewed publications and scientific communication. Qualifications Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field. Postdoctoral experience or an equivalent level of experience preferred. Extensive experience with multimodal MRI, including functional, structural, and tractography methods. Proficiency in big‑data analysis techniques. Experience with other large brain databases preferred. Strong computational skills and a solid publication record. Benefits Competitive salary and benefits. Housing allowance. Other benefits as specified in the employment terms. Application Instructions Cover letter. Curriculum vitae with a full publication list. Transcript. Statement of research interests. Three representative publications. Three letters of reference. All materials must be submitted in PDF format. Applications are accepted immediately; please submit through the NYUAD careers page at ************************************************************* For questions, contact ************** or **************************. UAE nationals are encouraged to apply. Equal Employment Opportunity Statement NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and achieve carbon neutrality by 2040. Learn more at nyu.edu/sustainability. #J-18808-Ljbffr

About Chai Discovery Chai Discovery is unlocking new biology with artificial intelligence by building state-of-the-art foundation models. The company is operating in stealth mode by a highly experienced founding team, who are well known in the AI community for seminal research accomplishments at top AI labs, have run AI departments at top AI x Biology organizations, have exited a past company via IPO, and sold AI technologies to multiple top 10 pharma companies. The company is backed with significant capital by top-tier investors. Position Overview Chai Discovery is seeking a highly experienced AI Research Scientist to play a crucial role in the development of our next-generation AI x biology foundation models and application to real‑world drug discovery challenges. The AI Research Scientist will work closely with the founding team to design and implement AI‑powered solutions to complex problems in the drug discovery pipeline. Key Responsibilities Design, implement, and evaluate novel AI models tailored for drug discovery applications, such as protein design and small molecule discovery. Manage and lead large‑scale machine learning research projects, ensuring they align with business goals. Scale our models on massive datasets in a distributed fashion across many GPU nodes. Develop innovative new techniques focused on large‑scale models for biomolecular design. Develop robust and scalable AI pipelines to process, analyze, and interpret large‑scale biological and chemical datasets. Stay updated on the latest advancements in AI research and bioengineering, communicate insights to the broader team, and incorporate relevant techniques into the company's research agenda. Work closely with software engineers to integrate AI models into production systems, platforms, and front‑end applications. Support customers on the deployment of our systems into real‑world drug discovery workflows. Participate in writing research papers, patent applications, and case studies. Qualifications Master's or PhD in Computer Science, Computational Biology, Bioinformatics, or a related field. Minimum of 5 years of hands‑on deep learning model development, with expertise in PyTorch, JAX or Tensorflow. Strong foundation in machine learning, deep learning, and AI algorithms. Demonstrated ability to independently lead research projects, for example by publishing research at top conferences or serving as a staff+ engineer in top industry functions. Previous experience applying AI to biomolecular data is a plus. Experience managing technical teams or leading complex technical projects is a plus. What We Offer Highly engaging work at the frontier of AI‑driven drug discovery that will fundamentally change how new drugs are created. Opportunity to work with world‑renowned leaders in the AI x biology ecosystem who have created some of the most impactful advancements to date and led highly successful technology careers. Highly competitive salary Highly competitive equity package Healthcare and wellness benefits Continuous learning and career growth opportunities Collaborative and supportive startup culture A high‑energy team who are guided by our mission to increase the efficiency of creating new medicines and positively impact millions of lives. Chai Discovery, Inc. is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences to apply. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Research Scientist in mathematical sciences to design and build AI models that tackle complex scientific problems. The ideal candidate will have strong communication skills and experience with frontier models. This position operates on a hybrid work model, valuing rigor and reproducibility in scientific research. Competitive compensation is offered. #J-18808-Ljbffr

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A technology firm specializing in neuroscience is seeking a Research Scientist focused on rodent behavior and neural imaging. The ideal candidate will design experiments, analyze neural data, and translate findings to human studies. Candidates should hold a PhD or postdoc in relevant fields and demonstrate proficiency in ultrasound neuromodulation techniques. This role is critical for advancing non-invasive brain research. #J-18808-Ljbffr

About Goodfire Behind our name: Like fire, AI holds the potential for both immense benefit and significant risk. Just as mastering fire transformed human history, we believe the safe and intentional development of AI will shape the future of our species. Our goal is to tame this new fire. Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. Our mission is to advance humanity's understanding of AI to build safe and powerful AI systems. We believe that deep research breakthroughs are necessary to make this possible. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We've raised $59M from investors like Menlo, Lightspeed and Anthropic and work with customers including Arc Institute, Mayo Clinic, and Rakuten. About the role Scientific AI models trained to model natural systems are revolutionizing research across scientific domains, including protein interaction prediction, protein design, disease prediction, and materials discovery. We're looking for a Forward Deployed Research Scientist (Biology) to join our team to work directly with customers to develop new techniques for understanding and designing large biological foundation models. You'll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward. Where you might contribute: Forward deployed research - lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they've learned. Project delivery and implementation - own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Translate research into tools for real-world applications in precision medicine, digital pathology, drug discovery, and more. Key Responsibilities: Work directly with customers to conduct original research in interpretability and computational biology. Prototype techniques to visualize and manipulate internal model structures. Collaborate with engineering to turn research into production-ready tools. Drive partnership success by collaborating closely with our customers and partners. Help define and evolve our research direction. Required experience PhD/MD or equivalent experience in biology, with a strong ML background and experience in computational biology or bioinformatics. Deep familiarity with large models and a passion for understanding how they work. Fluency in Python and ML frameworks such as PyTorch. Strong writing and communication skills for explaining complex ideas. Drive to move quickly and take ownership. Preferred qualifications Experience leading research in a forward deployed environment and in service of a customer's requirements. Familiarity with interpretability, alignment, or safe model development. Experience in startup or fast-paced lab environments. Our values Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost. Put mission and team first All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves. Improve constantly We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work. Take ownership and initiative There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we're building. Action today We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today. What we offer This role offers market competitive salary, equity, and competitive benefits. The expected salary range for this position is $220,000 - $315,000 USD Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory - we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life's work with us, even if you believe you do not meet every single requirement, apply now. #J-18808-Ljbffr

An established industry player is seeking a passionate Research Scientist to innovate and advance machine learning techniques. This role offers the opportunity to develop impactful research while collaborating across teams to push the boundaries of AI. Ideal candidates will have a track record of innovation, a strong understanding of deep learning algorithms, and a commitment to the ethical implications of AI technology. Join a forward-thinking organization dedicated to ensuring AI benefits all of humanity and play a pivotal role in shaping the future of technology. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a research scientist focused on cell biology. The role involves developing methods for ultrasound characterization on neural tissue, conducting experiments, and translating findings to human studies. Ideal candidates will have a PhD or postdoc background and exceptional skills in neural techniques. This is an opportunity to be part of an innovative team dedicated to improving lives through technology. #J-18808-Ljbffr

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