Post job

Associate scientist jobs in Walnut Creek, CA - 1,928 jobs

All
Associate Scientist
Research Scientist
Scientist
Assistant Project Scientist
Senior Research Chemist
Biological Scientist
  • Assistant Project Scientist - Nutrition Policy Institute (AP 25-35)

    University of California Agriculture and Natural Resources 3.6company rating

    Associate scientist job in Oakland, CA

    University of California Agriculture and Natural Resources Application Window Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Monday, Feb 2, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description Position Overview University of California Agriculture and Natural Resources (UC ANR) Nutrition Policy Institute (NPI) offers a unique recruitment opportunity for Assistant Project Scientist to work on studies related to youth cardiometabolic health; school physical activity and nutrition programs (recess, PE, school meals); and nutrition and physical activity policy implementation science. Potential research projects include examining longitudinal trends in student cardiorespiratory fitness; determining changes in elementary school recess minutes and related practices pre-/post-passage of state-wide recess law in California; and determining the impact of school lunch program changes in New York City Public schools on student school meal participation. Location Headquarters: UC ANR, NPI, UC Office of the President at 1111 Franklin Street, Eleventh floor, Oakland, CA 94607. Major duties and responsibilities of the Assistant Project Scientist will include collecting, cleaning, and analyzing quantitative and qualitative data; designing and managing studies; supporting grant writing efforts; and presenting and publishing research through peer-reviewed publications and conference presentations. The Assistant Project Scientist will also have the opportunity to develop grant writing and mentorship experience. This is an excellent opportunity for a candidate with expertise in quantitative methods and public health nutrition and physical activity who would like to develop expertise in areas such as natural experiments, drawing causal inference from observational data, randomized controlled trials, school health policy, qualitative methods, and implementation science. The Assistant Project Scientist will also develop and conduct applied research and evaluation that is consistent with UC ANR's Strategic Vision and NPI's Strategic Plan and disseminate findings and recommendations to inform programs and policy. Reporting Relationship: The Assistant Project Scientist will report administratively and directly to the NPI Director. QUALIFICATIONS Required qualifications: Education: A minimum of a doctorate degree in community nutrition, nutritional epidemiology, public health, health policy or a related field is required at the time of appointment. Preferred background includes experience with state and federal nutrition assistance programs. Additional Qualifications: Applicants need to meet appointment criteria for the respective University of California academic title series and evidence for success in meeting required academic advancement criteria as per UC Academic Personnel Manual Experience in design and execution of community/public health nutrition research projects. Experience in grantsmanship, including submitting NIH and other federal and foundation grants, and history of conducting research and evaluations. Primary authorship in peer-reviewed journals and academic conference presentations of research findings. Qualitative and quantitative research skills which include research design, sampling plans, and sample size calculations, data collection methodology and data analysis methods, and interpretation of findings. Strong statistical training with experience in longitudinal analyses. Experience and high proficiency using statistical analysis software: Stata, SAS, or R. Ability to produce well designed presentation materials using PowerPoint or other related software applications. Ability to work on multiple simultaneous projects, prioritize, and complete work efficiently in the face of competing demands. Excellent interpersonal, verbal and written communications skills are required. Excellent interpersonal, verbal and written communication skills. This is not a remote position. We are unable to sponsor or take over sponsorship of an employment visa at this time. Applicants must be authorized to work for any employer in the U.S. at the time of hire. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy for Employees, Students and Third Parties APM - 035: Affirmative Action and Nondiscrimination in Employment Preferred Qualifications: Experience with advanced quantitative methods (i.e. causal modeling, difference-in-differences, g-computation) and/or qualitative research Experience with qualitative software: NVivo, Dedoose, AtlasTI Skills Required to be successful Project Scientists require skills in the following: o Technical Competence & Impact Review the literature to inform study design and measures. Design and direct the development of detailed protocols and instruments for data collection including plans for testing of measurement methods. Train and supervise other data collectors. Coordinate data management. Determine appropriate analysis techniques for each dataset and research question. Conduct and supervise analyses using one or more statistical programs commonly used in public health. Prepare data tables to summarize quantitative findings and summaries for qualitative data. Identify federal and non-federal funding opportunities; develop and write proposals as part of a collaborative team; and recruit collaborators. o Communication Prepare and deliver oral presentations to summarize research findings for research, professional, and lay audiences. Prepare manuscripts for publication in peer-reviewed journals. Prepare interim and final reports and project summary materials (including fact sheets and policy briefs) for funders, community stakeholders, and policy makers. o Collaboration, Teamwork & Flexibility Foster collaborative teamwork with other NPI and UC academics and others to address priority research and evaluation topics. Interact with UC ANR Program Teams, specialists and others within the research/extension network to develop, strengthen and expand research. Build relationships to work with diverse populations. o Professional Development & Lifelong Learning Participate in professional organizations and collaborate with federal, state and county governmental agencies, non-government organizations and others by providing independent science-based information. Maintain a program of continuous self-improvement by participating in trainings, seminars, workshops, staff meetings, work group & program team meetings, short courses, professional society meetings and other relevant opportunities. About UC ANR UC ANR is a division of the University of California (UC) system that bridges the gap between local issues and the expertise of the UC system by providing research-based information, educational programs, and technical expertise to the public in areas such as agriculture, natural resources, nutrition, and youth development. UC ANR is part of a nationwide Cooperative Extension network, which began in the early 20th century to connect research from land-grant universities with the everyday needs of people in communities across the United States. Today, we collaborate with farmers, ranchers, diverse communities, youth and adult educators, and policymakers to address local and statewide issues related to food systems, water, climate change, and sustainable agriculture through a statewide network of campus-based researchers, county-based Advisors, and community educators. Our mission is to cultivate thriving communities, sustainable agriculture, resilient ecosystems, and economic prosperity in California and globally through equitable generation and sharing of collaborative, science-based solutions. Over 250 UC ANR academics conduct research, extension, and education serving all 58 counties from 70+ locations, including county-based UCCE offices, 13 statewide programs and institutes, and 9 research and extension centers. By working and living among those we serve, UC ANR expands the University of California's reach to engage all people and communities in California, ensuring equal access to the resources UC has to offer. Our vision is that UC ANR will be valued in every California community for meaningful engagement and making a positive difference in people's lives. Learn More UC ANR and UC ANR Mission Statement. Nutrition Policy Institute https://ucanr.edu/program/nutrition-policy-institute UC ANR administers Statewide Programs and Institutes that focus research and extension on solving priority problems that engage ANR academics and UC faculty in integrated teams UC ANR Strategic Initiatives help unify, communicate, and advocate for the work we do. UC ANR UC ANR uses seven Public Value statements to communicate how our work makes a difference to the public. UC ANR academics are expected to share and exhibit UC ANR's commitment to UC ANR's Affirmative Action policy UC ANR is committed to supporting inclusive excellence and is guided by UC ANR's Principles of Community. We strive to create an environment where all individuals, regardless of their background, feel valued and respected and have equal opportunities for growth and success. Salary & Benefits SALARY: The salary will be in the Project Scientist Series in Assistant Rank Step 1 - $76,700/year. For information regarding the Project Scientist represented series salary scales, please refer to https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t37-b.pdf. This is a represented position. The Project Scientist position is a definite term appointment. This position is guaranteed for 2 years with the possibility for renewal for a third year. The position will be extended based on the continued need for the position, performance and availability of funding. The merit cycle is every two years. The performance in the position will be evaluated annually. Benefits: The University of California offers comprehensive benefits including health insurance, retirement plans, two days per month paid vacation, one day per month paid sick leave, and holidays. For more information, refer to the UC Benefits website at: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html. How to Apply If interested in this position, please visit: https://recruit.ucanr.edu/ and choose "applicants" (refer to position #25-35). Closing Date: To assure full consideration, application packets must be received by January 2, 2026 (open until filled). Questions? Contact Mikyla Perez via mikperez@ucanr.edu Please note that successful applicants are responsible for ensuring work authorization without need of employer sponsorship for the duration of the appointment period. University of California Cooperative Extension As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited. Application Requirements Document requirements Curriculum Vitae - Your most recently updated C.V. Cover Letter Statement of Research and Extension - Please submit a 2-page Statement of Research and Extension Interests including how your current and/or past research and extension experience could contribute to, or be applicable to, the needs of the local community. Provide examples of potential goals and outcomes from your research and extension activities. References - Please submit a page of 3-5 references with contact information (include phone # and email address) College Level Transcripts - Electronic transcripts or legible scanned copies (PDF) of original transcripts will be accepted. Transcripts must identify course work completed, grades earned, degrees conferred and confer dates. Please DO NOT send transcripts that are password protected. Reference requirements 3-6 required (contact information only) About UC Agriculture and Natural Resources The University of California, Division of Agriculture and Natural Resources is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. Job location Oakland, CA To apply, please visit: https://recruit.ucanr.edu/JPF00340 Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-58660d2ec22b3f43859ebcd4c87f7c34
    $76.7k yearly 2d ago
  • Job icon imageJob icon image 2

    Looking for a job?

    Let Zippia find it for you.

  • Basic Life Research Scientist (3 Year Fixed Term)

    Stanford University 4.5company rating

    Associate scientist job in Stanford, CA

    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
    $75k-96k yearly 5d ago
  • Machine Learning Research Scientist

    Sentra

    Associate scientist job in San Francisco, CA

    Sentra is building organizational superintelligence through memory infrastructure that reasons across time, causality, and context. As a Research Scientist, you will tackle fundamental problems in knowledge representation, temporal reasoning, and semantic compression. You will design and implement systems that maintain execution state for entire organizations, consolidate millions of micro-events into durable knowledge, and learn patterns that predict events before it happens. Key Responsibilities Build LLM-powered information extraction pipelines that process unstructured communications and text data into structured entity-relationship representations. Develop memory consolidation algorithms that validate information through multiple observations, merge duplicate entities, and prune ephemeral data. Design temporal knowledge graph architectures that model organizational execution state as living, continuously updated systems rather than static records. Create graph attention mechanisms and reasoning systems for complex causal queries about blockers, dependencies, and outcome patterns. Research lossy semantic compression using information-theoretic principles to condense event streams into query-relevant long-term memory. Design entity resolution systems handling identity evolution where entities merge, split, and transform through time. Build meta-learning systems that identify organizational patterns and recognize when current situations match historical success or failure indicators. Develop privacy-preserving cross-organizational learning using federated learning and differential privacy techniques. Publish research findings and contribute to the broader research community on knowledge graphs and organizational intelligence. Must-have Requirements 5+ years building novel systems in machine learning, NLP, knowledge graphs, or related areas with evidence through publications, production implementations, or significant open-source contributions. Deep knowledge of knowledge graphs, graph neural networks, or temporal reasoning demonstrated through shipped systems and architectural exploration. Strong ML and NLP foundation, particularly in information extraction, entity resolution, or semantic representation. Proficiency in Python and modern ML frameworks (PyTorch preferred) with experience deploying models at scale. Track record of publishing research (conference papers, technical blog posts, or detailed technical documentation) and exploring novel architectures. Ability to move between theoretical investigation and practical implementation, shipping research into production. Bonus skills: Graph databases (Neo4j, TigerGraph, Neptune) and query optimization for large-scale graphs. Information theory, compression, or temporal data structures. Causal inference, probabilistic reasoning, or Bayesian methods. Distributed systems, stream processing, or real-time ML serving. Human memory and cognition models. Privacy-preserving ML (federated learning, differential privacy, secure multi-party computation). Enterprise AI systems, workflow automation, or organizational software. Publications at top-tier conferences (NeurIPS, ICML, ICLR, KDD, EMNLP, ACL, WWW, SOSP, OSDI). Compensation and Benefits Base Salary: $150,000 - $300,000 Equity: 0.3% - 2% depending on level Comprehensive Health Coverage: Medical, dental, and vision Wellness & Productivity Stipend: $2,500/month to cover meals, transport, gym memberships, or other personal productivity needs Hardware & Tools: Latest MacBook Pro and AI development tools (ChatGPT Pro, Claude Pro, Cursor, etc.) Learning & Growth: Dedicated budget for conferences, courses, and professional development Relocation Support: Available for on-site hires Flexible Time Off Policy Total estimated annual benefits package: ~$30K-$35K in addition to base and equity. #J-18808-Ljbffr
    $150k-300k yearly 2d ago
  • Research Scientist

    Martian 3.9company rating

    Associate scientist job in San Francisco, CA

    ### 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
    $138k-219k yearly est. 3d ago
  • Applied Scientist: Causal AI for Enterprise Marketing

    Mxv

    Associate scientist job in San Francisco, CA

    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
    $235k-258k yearly 4d ago
  • Robotics Research Scientist - Dexterous & Mobile Manipulation

    Multiply Labs 3.1company rating

    Associate scientist job in San Francisco, CA

    A cutting-edge robotics startup is looking for a Research Scientist to enhance their robotic manipulation systems. This role entails advancing research, collaborating on publications, and prototyping solutions within a multi-disciplinary team. The ideal candidate has a strong grasp of modern robotic methods and 5+ years of relevant experience, alongside a solid publication record in prestigious conferences. Compensation ranges from $160,000 to $210,000 annually, with equity options available. #J-18808-Ljbffr
    $160k-210k yearly 2d ago
  • Research Scientist, Mathematical Sciences

    Openai 4.2company rating

    Associate scientist job in San Francisco, CA

    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
    $106k-174k yearly est. 3d ago
  • LLM Post-Training Research Scientist - SF On-site

    Solana Foundation 4.5company rating

    Associate scientist job in San Francisco, CA

    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
    $99k-164k yearly est. 3d ago
  • Realtime Vision Scientist: Wildfire Detection & Geo AI

    Pano Ai, Inc.

    Associate scientist job in San Francisco, CA

    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
    $104k-165k yearly est. 5d ago
  • Healthcare AI Scientist - Transformer & LLM Expert

    Quantdynamicss

    Associate scientist job in San Francisco, CA

    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
    $104k-165k yearly est. 5d ago
  • Rodent Neuroimaging Scientist - Ultrasound Neuromodulation

    Nudge Real Estate

    Associate scientist job in San Francisco, CA

    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
    $104k-165k yearly est. 5d ago
  • Biomed Knowledge Graph Scientist for AI Discovery

    Mithrl Inc.

    Associate scientist job in San Francisco, CA

    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
    $104k-165k yearly est. 2d ago
  • Research Scientist - Applied AI

    P-1 Ai Inc.

    Associate scientist job in San Francisco, CA

    About P-1 AI: We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world-helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry‑level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth. Our founding team includes the top minds in deep learning, model‑based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.). About the Role: We're seeking an exceptional AI Research Scientist to help us push the boundaries of AI applied to the physical world. This role blends cutting‑edge AI research with hands‑on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation. You'll be leading projects that develop agentic AI systems designed to solve real‑world mechanical, electrical, and aerospace engineering problems-systems that think, remember, act, and adapt. This is not a “pure research” position: we're looking for a hacker‑scientist hybrid-someone who's published in top venues but is not afraid of any layer in the tech stack. What You'll Do: Design and implement agentic systems that autonomously solve physical engineering tasks. Develop advanced memory, retrieval, and planning architectures for LLM‑based agents. Apply (or invent) reinforcement learning strategies for reasoning, planning, and online adaptation. Contribute to both research strategy and technical implementation-this is a hands‑on role. Collaborate with a small, elite team of researchers and engineers across domains. Stay on the edge of what's possible and bring promising ideas into reality. About you: Have experience at the frontier of AI research (e.g., LLMs, RL, memory systems, agent architectures). Are passionate about applied problems-especially in mechanical, aerospace, or electrical engineering domains. Are fluent in Python and major ML/AI frameworks (PyTorch, JAX, etc.). Thrive in fast‑moving environments and feel comfortable working towards underspecified goals. Have a “whatever it takes” mindset: you're the kind of person makes things work. Can go from whiteboard to working prototype without waiting for someone else to “engineer” it. Preferred Qualifications: PhD in Computer Science, Robotics, Engineering, Math, or a related technical field (or equivalent experience). Relevant publications in top‑tier venues of your field. Experience with physical engineering domains a plus. Familiarity with agent tool‑use, retrieval‑augmented generation, or long‑term memory systems. Deep knowledge of reinforcement learning algorithms and practical challenges. Interview process: Initial screening - Head of Talent (30 mins) Hiring manager interview - Head of AI (45 mins) Technical Interview - AI Chief Scientist (45 mins) Culture fit / Q&A (maybe in person) - with co‑founder & CEO (45 mins) #J-18808-Ljbffr
    $95k-160k yearly est. 2d ago
  • Behavioral Research Scientist - AI Simulation

    Jack & Jill/External ATS

    Associate scientist job in San Francisco, CA

    A VC-backed AI simulation platform in San Francisco is seeking a Behavioral Research Scientist to shape AI agents' cognitive foundations. The role focuses on modeling decision-making processes, translating theories into practical frameworks, and conducting experiments to enhance simulation realism. Ideal candidates will have a PhD in relevant fields and experience in behavioral modeling. Join a passionate team making a real-world impact in AI technology. #J-18808-Ljbffr
    $95k-160k yearly est. 2d ago
  • AI Research Scientist: Drug Discovery & Biomolecular Design

    Menlo Ventures

    Associate scientist job in San Francisco, CA

    A leading AI research company in San Francisco is seeking an experienced AI Research Scientist to design and implement next-generation AI models for drug discovery. The role involves managing machine learning projects, developing AI pipelines, and integrating models into production systems. Ideal candidates will have a PhD in a relevant field and over 5 years of experience with deep learning technologies like PyTorch or TensorFlow. Competitive salary, equity, and comprehensive benefits are offered in a collaborative startup environment. #J-18808-Ljbffr
    $95k-160k yearly est. 2d ago
  • Edge AI Model Optimization Scientist

    Quadric Inc.

    Associate scientist job in Burlingame, CA

    A technology company in California is seeking a skilled research scientist to join their data science team. The role involves optimizing neural network models and developing techniques for more efficient inference on their innovative hardware. Candidates should have advanced degrees and substantial experience in machine learning and Python. This position offers a competitive salary, health benefits, and a commitment to diversity in the workplace. #J-18808-Ljbffr
    $104k-165k yearly est. 5d ago
  • Video Generative AI Research Scientist - Real-Time Media

    Rethink Recruit

    Associate scientist job in Palo Alto, CA

    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
    $96k-161k yearly est. 4d ago
  • Foundational AI Scientist (LLMs)

    Aldea Inc. 3.9company rating

    Associate scientist job in San Francisco, CA

    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
    $48k-73k yearly est. 5d ago
  • Senior AI Researcher: Foundation Models for Earth Data

    Hum 3.8company rating

    Associate scientist job in San Francisco, CA

    A cutting-edge AI startup is seeking an experienced AI Researcher to drive innovative research in generative AI and build multimodal foundation models. Ideally located in San Francisco, the candidate will require a PhD and 5+ years in the field. Responsibilities include designing and implementing models, conducting independent research, and publishing findings. This role is central to advancing AI for earth observation and creating a positive impact. #J-18808-Ljbffr
    $85k-122k yearly est. 5d ago
  • Research Scientist - Drive Scalable ML & Broad Impact

    Openai 4.2company rating

    Associate scientist job in San Francisco, CA

    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
    $106k-174k yearly est. 3d ago

Learn more about associate scientist jobs

How much does an associate scientist earn in Walnut Creek, CA?

The average associate scientist in Walnut Creek, CA earns between $71,000 and $179,000 annually. This compares to the national average associate scientist range of $53,000 to $109,000.

Average associate scientist salary in Walnut Creek, CA

$113,000

What are the biggest employers of Associate Scientists in Walnut Creek, CA?

The biggest employers of Associate Scientists in Walnut Creek, CA are:
  1. Weston
  2. ERM
  3. Weston Solutions Holdings, Inc.
Job type you want
Full Time
Part Time
Internship
Temporary