Postdoctoral scholar jobs in Daly City, CA - 1,044 jobs

A dynamic tech startup in San Francisco is seeking a founding AI Researcher to advance their AI product capabilities. The ideal candidate will lead research in large language models and program synthesis, integrating groundbreaking insights into practical applications. With a competitive compensation package of $140-200k base salary plus substantial equity, this role offers a unique opportunity to shape the future of AI in software engineering workflows. Join a passionate team committed to innovation and diversity. #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

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 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

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 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

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

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 growing tech start-up in San Francisco is seeking a Computer Vision Applied Scientist to develop advanced geospatial algorithms and improve deep learning models for wildfire detection. The ideal candidate has a PhD or MS in a related field and strong Python skills, particularly with PyTorch. This role offers opportunities to work with cutting-edge technology and be part of an agile team dedicated to tackling environmental challenges while providing comprehensive benefits including stock options and unlimited paid time off. #J-18808-Ljbffr

A biotechnology company in San Francisco is looking for a Data Scientist, Knowledge Graphs to build and scale the biological knowledge layer for its AI Co-Scientist. This role involves ingesting and harmonizing vital biological datasets, creating automated curation pipelines, and enabling user interaction with knowledge graphs. The ideal candidate should have strong experience in data science and familiarity with biological knowledgebases, with a focus on building robust ingestion systems. Comprehensive benefits and a vibrant culture are offered. #J-18808-Ljbffr

A healthcare consulting firm in San Francisco is seeking a highly skilled Healthcare Data Scientist to leverage advanced AI models for real-world healthcare applications. The ideal candidate will develop machine learning models, analyze complex data, and collaborate across teams to bring innovative solutions to production. This role offers an opportunity to work on cutting-edge technologies in a dynamic environment. #J-18808-Ljbffr

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

The Basic Life Research Scientist at Stanford University conducts advanced experimental and computational research to study protein-RNA interactions at scale, integrating high-throughput sequencing with machine learning methods. This role involves designing and optimizing experimental protocols, analyzing data, preparing scientific reports, and mentoring junior lab members within a collaborative and inclusive environment. The position contributes to innovative genomic research with the goal of advancing knowledge in molecular biology and improving human health outcomes. The Department of Genetics at Stanford University is a leading center for genomic research, dedicated to understanding the molecular mechanisms underlying human health and disease. Our department brings together world-class faculty and researchers who develop and employ cutting-edge technologies -from molecular to computational approaches- to tackle fundamental questions in genetics. We foster a collaborative, interdisciplinary environment that bridges basic science with clinical applications, training the next generation of geneticists while pursuing discoveries that translate into improved human health outcomes. Our mission emphasizes scientific excellence, innovation, and the responsible application of genetic knowledge to benefit society. We are committed to building an inclusive scientific community that values the contributions of all our members to our research programs. The Cox laboratory at Stanford University School of Medicine seeks a full-time staff research scientist to accelerate the development of novel technologies for probing protein-RNA interactions at scale. Our laboratory aims to solve the fundamental challenge of predicting protein-RNA complex structures directly from sequence by integrating high-throughput experimental data with machine learning methods. The successful candidate will focus primarily on developing and implementing the experimental technologies that enable these large-scale measurements. More information about the lab can be . In this role, you will perform professional research in support of our scientific mission. You will contribute to developing research goals for the laboratory, work collaboratively with the Lab Head to determine optimal research methods, and independently perform scientific procedures requiring professional judgment. Additional responsibilities include interpreting experimental results, reviewing pertinent literature, and preparing research reports for presentation and publication. What we provide: Basic science research projects with potential for broad and sustained impact on pressing biomedical problems Training in cutting-edge experimental and computational methods in molecular biology and biochemistry, including high-throughput sequencing A collaborative, inclusive, and supportive research environment Opportunities for authorship on research publications A team committed to continuous learning and scientific collaboration Membership in Stanford's vibrant scientific communities across the Department of Genetics, School of Medicine, and broader university CORE DUTIES: Research & Technical Development: Design, develop, and perform specialized experimental procedures for protein-RNA interaction studies, including high-throughput sequencing-based assays Identify methodological challenges in research protocols and implement innovative solutions to optimize experimental outcomes Evaluate emerging technologies and lead the integration of new methodologies into laboratory workflows Troubleshoot complex experimental systems and maintain laboratory instrumentation Organize experimental data Data Analysis & Reporting: • Prepare comprehensive research reports, manuscripts, and presentations for scientific meetings and publication • Collaborate on data visualization and statistical analysis to support research conclusions Laboratory Leadership & Management: Develop and implement short- and long-term research strategies in collaboration with the Lab Head Train and mentor junior laboratory members in experimental techniques and data analysis methods Oversee laboratory operations including supply management, equipment maintenance, and safety protocols Prepare specifications for specialized equipment and coordinate procurement of some research supplies Required Qualifications: Ph.D. in biochemistry, molecular biology, structural biology, genetics, or related field; or equivalent combination of education and experience Demonstrated experience with protein purification, nucleic acid biochemistry, and next-generation sequencing technologies Strong technical proficiency combined with scientific creativity and collaborative skills Ability to work independently while contributing effectively to team-based research goals Ability to develop innovative processes to achieve goals. Directs others to develop essential tasks. Reviews work activities to determine where new information could improve processes or move projects forward Ability to write and prepare reports or manuscripts for presentation to large audiences. Experience mentoring and training junior researchers Commitment to fostering an inclusive and collaborative research environment Preferred Qualifications: Experience with biochemical assays for protein-nucleic acid interactions Familiarity with computational analysis of next-generation DNA sequencing data Prior experience in technology development or method optimization Track record of scientific publications in peer-reviewed journals Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Please Note: • This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. • Interested applicants should submit a cover letter, current CV, publication list and the contact information for at least 3 references with their application. The expected pay range for this position is $75,000 to $96,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Keywords: protein-RNA interaction, genomic research, high-throughput sequencing, molecular biology, machine learning, biochemistry, structural biology, experimental design, data analysis, scientific publication

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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

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

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