Researcher jobs in San Mateo, CA - 1,292 jobs

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About us Our mission is to build causal intelligence, starting with physics models to predict and control the weather. We're building a small team driven by a deep passion and urgency to solve this civilizationally important problem. Our founding team has led & shipped models across self-driving cars, humanoid robotics, protein folding, and video generation at world-class institutions including Google DeepMind, Cruise, Waymo, Meta, Nabla Bio, and Apple. Responsibilities Work across the full ML stack (data, model, eval, and infrastructure) Implement novel model architectures and training algorithms Build data pipelines and training infrastructure for massive, petabyte-scale, multimodal datasets Rapidly iterate on experiments and ablations Stay up-to-date on research to bring new ideas to work What we're looking for We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. Strong grasp of machine learning fundamentals, and depth in at least one core domain (e.g. Computer Vision, Sensor Fusion, Language Models, Physics-informed NNs) Experienced at training models and understanding experiment results through careful analysis and ablation studies. Experienced at writing and optimizing massive petabyte-scale data pipelines. Familiarity with distributed training and inference. [bonus] Familiarity with meteorology, computational fluid dynamics, and/or numerical simulations. You don't have to meet every single requirement above. Benefits Work on deeply challenging, unsolved problems Competitive cash and equity compensation Medical, dental, and vision insurance Catered lunch & dinner Unlimited paid time off Visa sponsorship & relocation support #J-18808-Ljbffr

Prima Mente's goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact. Role focus As a Machine Learning Researcher, you will help design, train, and evaluate foundation models that learn from large-scale biological data (genomics, epigenomics, single-cell, proteomics, clinical signals). Depending on your strengths, you might skew more towards: Modelling & algorithms - new architectures, training objectives, scaling strategies, multi-task / multi-modal learning. Applied research - framing high-impact questions with clinicians and biologists, building end-to-end disease models, and stress-testing them on real data. Analysis & insight - probing model internals, interpretability, mechanistic understanding, biomarker discovery. Systems & efficiency - if you enjoy it, helping push training, data, and inference infrastructure to the next scale. The role is deliberately broad: we're looking for exceptional ML talent with strong research instincts, not a single CV template. What you'll work on You won't do all of these on day one; think of this as the space of things you may own. Design and implement ML models for large-scale biological data, from pre-training to task-specific fine tuning. Partner with biologists, clinicians, and data scientists to translate biological and clinical questions into tractable ML problems. Run end-to-end experiments: dataset curation, training, evaluation, error analysis, and iteration. Develop and refine evaluation suites for robustness, generalisation, and clinical relevance (e.g. across cohorts, sites, populations). Explore multi-modal and multi-task training across genomic, epigenomic, transcriptomic, proteomic and clinical signals. Perform in-depth model analysis to extract mechanistic or biomarker-level insights, not just metrics. Collaborate on papers, internal memos, and external communication of key research results. (Optional / plus) Contribute to scaling and optimisation of training and data pipelines, in close collaboration with research engineers. Expected Growth This is illustrative; we know great people ramp differently. 1 month: You've reproduced key baselines, run initial experiments on our internal datasets, and are comfortable with our training stack. You've shipped your first improvements (e.g. better objective, data pre-processing, or evaluation variant) and presented results to the team. 3 months: You own a research thread: a model family, disease application, or methodological idea. You're independently designing experiments, refining hypotheses, and coordinating with relevant partners (ML, wet lab, clinical). 6 months: You've delivered meaningful research impact: a stronger model, a new capability, a better biomarker, or evidence that changes our direction. You are a go-to person for your area, helping others design experiments, debug models, and evaluate results. Why Join Us: Direct patient impact: Your work sits on the critical path to earlier detection and better treatment of devastating brain diseases. End-to-end environment: We run the full stack from data generation to models to clinical studies, giving you an unusually tight feedback loop. Exceptional peers: You'll work with a small, high-calibre team across ML, biology, and clinical medicine. High autonomy, high bar: You'll have genuine ownership over problems that matter, with the expectation of operating at a very high standard. Who You Are You likely recognise yourself in several of these: Motivated by advancing human health through AI, especially in neuroscience and complex disease. Deeply curious, with a habit of reading papers, prototyping ideas, and stress-testing your own assumptions. Comfortable doing real engineering work in service of research - but see yourself first and foremost as a researcher. Enjoy collaborating across disciplines and explaining your work to people with very different backgrounds. Able to stay with hard problems for a long time, and to make progress even when the path isn't obvious. Ideal experience We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Strong background in machine learning or a closely-related field (e.g. deep learning, statistics, optimisation). Industry, academic, or hybrid paths are all welcome. Demonstrated experience training and evaluating modern ML models (e.g. transformers, diffusion, graph models, sequence models). Solid software skills in Python and at least one major ML framework (PyTorch, JAX, or TensorFlow). Experience designing and running non-trivial experiments: controlling for confounders, building robust baselines, and doing thorough error analysis. Ability to write clearly - whether in code comments, research docs, or papers. At least one of the following (more is a plus, not a requirement): Experience with large-scale data (e.g. 100B+ tokens or equivalent) or distributed training. Background in computational biology, genomics, epigenomics, neuroscience, or related areas. Work on foundation models (language, vision, or multi-modal) and interest in applying that to biology. Infra/optimisation experience (e.g. FSDP/ZeRO, quantisation, compilation, custom kernels) - especially valuable, but not mandatory. If you're unsure whether you “count” as an engineer or a researcher: please apply. We care about what you can do and how you think, not your current job title. Location Based in San Francisco, US or London, UK. We support visa applications. Culture Insight What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous. Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. We arrange our lives so we can work in person as much as possible. Our ValuesExceptional performance at exceptional pace The solutions we build demand uncompromising quality and rigour. The problems we are solving are grave and present. Inquisitive discovery We embrace curiosity and creativity. Every question is a path to a transformational breakthrough. Radical candour We practice unwavering honesty and transparency in all our challenges and interactions. Purposeful individuality Every individual in our team is celebrated for their identity, uniqueness, and experiences. We are invested in each one's bespoke personal development. Nurturing individuality will supercharge our collective purpose and spirit. Patient impact at scale We have a steadfast commitment to improve the health and well-being of patients globally. Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact. #J-18808-Ljbffr

A technology company based in San Francisco is seeking a talented Machine Learning Researcher to join its R&D team. The role focuses on developing advanced machine learning models for EEG-based neural decoding, collaborating with experts in the field, and contributing to high-impact research publications. The ideal candidate holds a significant background in ML research or engineering, particularly with deep learning, and proficiency with tools like Python and PyTorch. This position offers a competitive salary and benefits, including visa sponsorship and housing support. #J-18808-Ljbffr

A cutting-edge technology company in California seeks a Site Reliability Storage Engineer to design and operate scalable storage systems for AI research. The ideal candidate will have strong programming skills in Rust or Go, and experience with IaC tools and Kubernetes. This role offers a competitive salary ranging from $180,000 to $440,000 and comprehensive benefits including equity and health insurance. #J-18808-Ljbffr

At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: We work hard and have a high-velocity environment with lots of growth opportunities. We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. You will be responsible and accountable for making high-impact decisions that determine Who we're looking for: Someone who has a deep understanding of the ML development cycle, focusing on iteration speed and identifying bottlenecks Someone who is goal oriented and driven. You must be comfortable being given a goal and doing whatever is necessary to achieve the goal Profficient in Python, Tensorflow or PyTorch #J-18808-Ljbffr

Intro Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling customer support workflows, building admin dashboards, and countless other processes you might not have even thought of. But most companies don't have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows. At Retool, we're building the first enterprise AppGen platform: software that transforms natural language into production-ready code, integrates directly with business data, and meets the highest standards of security and governance. AI is redefining what it means to build software-and who gets to build it. The definition of “developer” now includes analysts, operators, and domain experts creating solutions directly. As the pool of builders widens, so does the complexity of what they need to build. The opportunity is enormous, but so is the challenge of enabling this larger community to build production‑grade software safely. That means AI that understands real business data, enforces enterprise policies automatically, and empowers teams to create once and reuse everywhere with shared, trusted components. Over 100 million hours of work has been automated by developers and domain experts using our platform, freeing them to focus on creative problem-solving and strategic initiatives that drive real business value. The people closest to knowing what needs to be built can now safely create custom solutions within enterprise guardrails. And that's a mission worth striving for. Let's build the future together! Why We're Looking For You We're looking for a UX Researcher to inform our product and design strategy through one of tech's most transformative shifts: the fusion of developer tools and AI. At Retool, we're reimagining how software gets built in the era of AI, and your research will light the way. You'll be a foundational member on a small, strategic research team, with an opportunity to shape the culture of research at Retool and define how insights drive impact across the organization. Though a new function, research is already deeply valued across the organization, informing key strategic designs and guiding our expansion into new customer segments and AI‑powered experiences. You'll collaborate with a curious and customer‑centric group of designers, engineers, and product managers who are eager to partner with research to uncover new opportunities to elevate our products. What You'll Do Work with stakeholders to identify knowledge gaps, latent assumptions, and open questions to prioritize opportunities for impactful research. Plan, conduct, and analyze studies leveraging a range of qualitative and quantitative methods-from tactical usability tests to in‑product surveys and more-to generate actionable learnings. Balance speed with research rigor, creatively leveraging research methods to work within constraints. Triangulate insights from across user research, product usage, support, and market signals, to surface meaningful patterns. Distill complex data into clear, compelling stories for teams across the org, from product, design, and engineering peers to executive stakeholders. As an early member of the research team, you'll also collaborate with your teammates to shape our research practice, evolve our processes, and help embed user‑centered thinking across everything we do. Skillset You'll Bring 4+ years of experience in UX research, product research, or a related field, ideally in B2B or technical product environments. Proven ability to own research projects end‑to‑end, from scoping through to execution and analysis, leveraging a range of qualitative and quantitative methods. Strong synthesis and storytelling skills, with an ability to distill ambiguity into clarity and make insights resonate with diverse audiences. Experience shaping product direction through early‑stage generative research and iterative usability testing. Comfort working in ambiguous problem spaces and a bias toward action-you're as strategic as you are scrappy. Deep curiosity about how complex systems work, especially technical workflows or developer tools. Excellent collaboration and communication skills, with an understanding for how to bring others into the process and rally teams around user insights. Ability to manage multiple priorities, scope projects appropriately, and deliver high‑quality work on time. Additional Nice‑to‑Haves Bachelor's or advanced degree in Human‑Computer Interaction, Psychology, Human Factors, Computer Science, or similar field. Experience working on AI products, along with an understanding of how these technologies work and implications for how users interact with them. Familiarity with design thinking frameworks, usability evaluation techniques, and A/B testing. A portfolio of work that demonstrates the ability to drive measurable business impact by informing product and design decisions. Compensation & Benefits Salary Range: $164,890 - $223,190 USD (base salary). Additional compensation includes equity, commission/bonuses, and a comprehensive benefit plan including medical, dental, vision, and 401(k). Retool offers generous benefits to all employees and hybrid work location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. 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The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs website at ****************** \ How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. 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About Nudge Nudge's goal is to help the brain work better by creating a generalized product that can precisely stimulate and image the brain, entirely non-invasively. We aim to achieve this by developing cutting-edge ultrasound technology to treat neurological and psychiatric disorders, like addiction, and eventually, creating a mainstream consumer device that can modulate mood, focus, sleep, and more. To realize those ambitions, we're growing a scrappy, multidisciplinary, science and engineering team focused on making the best technology possible for interfacing with the whole brain, and a product that has the potential to improve people's daily lives more than any other. About the team The Research Team at Nudge is innovating on multiple frontiers in neuroscience and neurotechnology, and is primarily focused on developing ultrasound-based neuromodulation to treat conditions like depression, chronic pain and addiction as well as enhance the wellbeing of healthy people. We're also building the first scalable, portable hardware for noninvasive structural ultrasound-based imaging the quality of an MRI. The team is running human trials for neuromodulation and developing algorithms that will enable on-device imaging. About the role Work closely with the Head of Research and engineering team to build the capabilities for on-device ultrasound-based imaging. Develop algorithms for structural and functional ultrasound-based imaging Perform validation of in-silico ultrasound imaging methods with Nudge hardware in physical models and in vivo Contribute to the development of aberration correction techniques informed by ultrasound-based imaging About you 5+ years experience PhD or Postdoc in Bioengineering, Medical Imaging, Physics or equivalent Expertise in ultrasound physics and metrology Demonstrated history of exceptional contributions in your prior work experiences Expertise in one or more of: Full-waveform inversion imaging Functional transcranial doppler imaging Functional ultrasound imaging Machine learning experience a plus Compensation $140,000 - $230,000/year + equity Your salary may vary depending on multiple factors such as job-related knowledge, skills, and experience. #J-18808-Ljbffr

About the Team The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment. As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster. About the Role As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research-in fields such as mathematics, theoretical physics, and theoretical computer science-forward. You\'ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact. We\'re looking for people who... Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field Regularly use frontier models in their own research Move easily between theory and code, and are eager to contribute technically as well as academically Either know or are eager to learn modern AI and run AI experiments end-to-end Are strong scientific communicators Care about rigor and reproducibility in scientific results 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 Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based) Design reinforcement and grading signals for physics and run reinforcement learning/optimization loops to improve model reasoning Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time Partner with research labs and the academic community Drive adoption of frontier AI within the scientific community Uphold high standards for safety, data governance, and reproducibility You might thrive in this role if you Are passionate about pushing the boundaries of your field using AI Have used ChatGPT to do calculations and prove or improve lemmas in your field of study Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia Nice to have Open-source contributions to mathematical science or AI tooling Experience building or curating domain datasets and benchmarks Experience engaging a research community (teaching, workshops, tutorials, standards) 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 we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI\'s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy 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. Compensation Range: $380K - $460K #J-18808-Ljbffr

A pioneering AI company in San Francisco is seeking a talented AI Researcher to push the boundaries of custom AI research and model training. You will lead experiments in model architectures and fine-tune techniques for efficiency, collaborating with a skilled team. Ideal candidates have a strong background in training with PyTorch and experience in optimizing LLMs. This role offers competitive compensation ranging from $250K to $350K, along with equity and benefits. #J-18808-Ljbffr

A leading research institution in San Francisco seeks two PhD students to work on innovative machine learning projects focused on radiological precision medicine. Candidates will develop AI models for breast cancer risk prediction and assess equity in AI-supported screening methods. These positions offer a unique opportunity to contribute to groundbreaking medical research and work under prestigious supervisors. Applicants should hold a relevant master's degree and demonstrate proficiency in quantitative analysis and Python. #J-18808-Ljbffr

A cutting-edge technology firm in Palo Alto is seeking a Video Generative AI Research Scientist / Engineer. In this role, you will lead the design and training of advanced generative models for video and collaborate closely with teams to bring innovative interactive experiences to life. Requirements include a PhD in Computer Science or related field, strong experience in generative modeling, and proficiency in ML frameworks. Competitive salary and equity offered. #J-18808-Ljbffr

A generative media company in San Francisco seeks a Research Scientist to lead innovation in video generation. Responsibilities include developing model compression techniques and optimizing for efficiency. The ideal candidate has a PhD or relevant industry experience in Machine Learning, particularly with diffusion models. The role offers competitive compensation, benefits, and an inspiring startup culture. #J-18808-Ljbffr

A forward-thinking sleep technology company in San Francisco is seeking a research scientist to leverage AI and Machine Learning to transform health and fitness experiences through innovative technology. The ideal candidate has a PhD in a relevant field and practical experience in machine learning application, with a passion for health technologies. This role promises immediate responsibilities, collaboration with exceptional talent, and equitable compensation, while promoting a workplace that values innovation and excellence. #J-18808-Ljbffr

B.S. in Biology, Biochemistry, Molecular Biology, or a related discipline, with 1+ years of industry experience in pharmaceutical or biotechnology settings. Hands-on experience performing quantitative assays (e.g. ELISA), for the characterization of proteins, nucleic acids, viruses or other biological products. Strong hands-on experience with sterile technique and mammalian cell culture, including cell maintenance, expansion, characterization, and banking. Working knowledge of core molecular biology techniques (DNA/RNA/protein isolation, cDNA synthesis, RT-PCR, qPCR, digital PCR). Experience working with Adeno-Associated Virus (AAV) is a plus

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

About Alljoined Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting healthcare applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications. We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole. About the Role We're seeking a talented and experienced Machine Learning Researcher to join our core R&D team. This role involves designing and implementing advanced machine learning models for EEG-based neural decoding, publishing high-impact research, and developing the core infrastructure for our brain decoding systems. You will work closely with leading experts in neural decoding and AI, pushing the boundaries of what's possible in brain computer interfaces. Key Responsibilities Research & Model Development: Develop, train, and refine state-of-the-art deep learning models for neural decoding, building on the latest advancements in ML architectures (e.g., transformers, diffusion models, etc). Explore novel approaches for modeling high-frequency timeseries EEG datasets along with a number of adjacent data modalities. Translate research insights into production-grade code that integrates seamlessly with our in-house BCI stack. Collaboration & Publication: Collaborate with a team of neuroscientists and ML engineers to create scalable, end-to-end neural decoding solutions. Publish findings at top-tier ML and AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) and contribute to open-source communities where appropriate. Qualifications Educational Background & Experience: Bachelor's degree in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Mathematics, Biomedical Engineering, etc), with 5-7 years of experience in ML research or applied ML engineering; OR Graduate degree (M.S., Ph.D.) in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Biomedical Engineering) with 3+ years of experience in ML research or applied ML engineering. Candidates with a Ph.D. and/or experience in high profile ML research labs are strongly preferred. Technical Expertise: Multimodal Representation Learning (CLIP-style contrastive objectives, masked autoencoding) Generative Modeling (diffusion, transformer-decoders, latent-GANs) Temporal Sequence Modeling (state-space models, STFT-aware transformers, RWKV) A track record of high-quality research demonstrated by publications in top ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR). Strong proficiency in Python and PyTorch, familiarity with ML tooling, and distributed training. Experience working in a production-quality codebase with modern code review standards. Compensation Range $140,000 - $250,000/year + equity While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Benefits Options for housing support Visa sponsorship 3% 401k matching Health insurance #J-18808-Ljbffr

A brain health technology firm based in San Francisco is seeking a Machine Learning Researcher to design and evaluate models for large-scale biological data. This role involves collaboration with clinicians and biologists, developing end-to-end experiments, and driving research insights with a team of exceptional peers. Ideal candidates possess strong backgrounds in machine learning, solid Python skills, and the ability to communicate clearly. Join us for impactful work aimed at improving health outcomes. #J-18808-Ljbffr

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