Scientist jobs in Vacaville, CA - 1,158 jobs

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 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 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

A leading AI technology company in San Francisco is seeking a Research Scientist to advance AI models and techniques. You'll work in a collaborative environment, focusing on novel research, and applying AI solutions to real-world challenges. Candidates with a Bachelor's or Master's degree and 2+ years of relevant experience are encouraged to apply, with a competitive salary range of $192,000 - $260,000. #J-18808-Ljbffr

A leading AI robotics firm based in San Francisco is seeking an AI Robotics Research Scientist. This role involves developing and training robotic AI models and working with an all-star team to tackle advanced robotics challenges. The ideal candidate will have a Ph.D. in Robotics or Computer Science and experience in deep learning and robotic hardware. A competitive salary range of $180,000 - $250,000 plus equity is offered, along with strong benefits that include paid time off, health insurance, and 401k contributions. #J-18808-Ljbffr

Substrate is addressing one of the most important technological problems facing the United States. At the intersection of advanced manufacturing and cutting‑edge physics, we are developing technologies that will reshape the semiconductor industry and strengthen America's technological leadership. We are a team of world‑class scientists, engineers, and technical experts building technology for the United States. Summary As a Research Scientist working with AI, you will accelerate and augment R&D workflows by applying machine learning to scientific simulations and modeling while simultaneously building internal AI capabilities across the organization. This role sits at the intersection of cutting‑edge physics and artificial intelligence, and you'll work hands‑on to develop AI‑augmented tools that enable breakthrough research, and build the infrastructure and expertise that empowers our technical teams to leverage AI in their own work. Whether you are a physicist who has embraced machine learning or an AI expert with deep scientific domain knowledge, you will play a pivotal role in defining how we utilize AI to accelerate our own internal R&D. Responsibilities Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows Develop AI‑augmented tools for materials science, device physics, or accelerator physics applications Build internal AI infrastructure and capabilities to enable research teams across the organization Train and mentor scientists and engineers on integrating AI/ML into their research workflows Implement surrogate models, physics‑informed neural networks, or generative approaches for scientific problems Develop data pipelines and frameworks for scientific machine learning across distributed teams Collaborate with computational physicists and experimentalists to identify high‑impact AI applications Set AI best practices and establish standards for ML‑augmented R&D Required Qualifications 5+ years professional or academic research experience in physical sciences, engineering, or related field 2‑3+ years hands‑on experience applying machine learning to scientific or technical problems Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar) Deep understanding of scientific computing, numerical methods, and computational modeling Proven ability to translate scientific problems into machine learning approaches Experience building tools, infrastructure, or capabilities used by technical teams Preferred Qualifications PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field Publications applying ML to scientific computing, simulation, or experimental data analysis Experience with physics‑informed machine learning or scientific foundation models Background in accelerator physics, semiconductor devices, materials modeling, or related domains Track record of enabling technical teams through tool development or mentorship Salary Range $150,000-$400,000 USD Substrate is an equal opportunity employer. It provides equal employment opportunity to all applicants without regard to race, color, religion, national origin, disability, medical condition, marital status, sex, gender, age, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws. Substrate will provide reasonable accommodations to applicants with disabilities. If you need an accommodation during the hiring process, please let your recruiter know. Applicants must be legally authorized to work in the United States. This position is not eligible for visa sponsorship. #J-18808-Ljbffr

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

A generative media company in San Francisco seeks a Research Scientist to develop innovative architectures for long-form video generation. The ideal candidate will have a PhD in Machine Learning or a related field, expertise in auto-regressive modeling, and proficiency in Python and PyTorch. This role offers competitive compensation and valuable experience in the evolving field of AI-driven content creation. #J-18808-Ljbffr

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

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

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

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

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: Method Development, Qualification, and Validation: Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines. Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy. Sample Analysis: Support drug absorption, distribution, metabolism, and excretion studies. Perform analysis of AAVs, cells, and tissues to support various stages of research and development. Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks. Documentation Reporting: Draft and review key documents such as SOPs, method development, and sample analysis reports. Maintain accurate and detailed records of all experiments and analyses. Collaboration & Communication Collaborate with manufacturing and preclinical teams to support pipeline needs. Communicate and present findings clearly to internal stakeholders. Qualifications: B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field. 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry. Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, dd PCR, and ELISA. Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL. Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.). Background in RNA-based therapies is highly desirable. Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.) Knowledge of FDA and ICH guidelines for method development, qualification, and validation. Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams. Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. Team-oriented thinking. Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

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

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values. Responsibilities Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models Develop robust evaluation frameworks to measure model alignment, safety, and output quality Create and optimize data collection pipelines for human feedback and preferences Design and conduct experiments to validate alignment techniques and their scaling properties Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment Mentor junior researchers and foster a culture of responsible AI development Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Must have: Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models Extensive experience implementing and optimizing large-scale training pipelines using PyTorch Deep understanding of reinforcement learning techniques, particularly RLHF Experience with distributed training systems and large-scale experiments Proven track record in designing and implementing robust evaluation frameworks Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Strong software engineering skills and experience with complex shared codebases Ideal candidate will have: Experience with diffusion models or other generative architectures Background in fine-tuning large language models or generative models Experience working with human feedback data collection and annotation pipelines Strong aesthetic sense and understanding of video quality assessment Familiarity with alignment techniques such as constitutional AI or debate Track record of successful collaboration with product teams Experience with perceptual quality metrics and human evaluation design Contributions to open-source projects in AI alignment or generative AI Additional Information Additional Information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish. #J-18808-Ljbffr

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

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

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

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: Method Development, Qualification, and Validation: Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines. Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy. Sample Analysis: Support drug absorption, distribution, metabolism, and excretion studies. Perform analysis of AAVs, cells, and tissues to support various stages of research and development. Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks. Documentation Reporting: Draft and review key documents such as SOPs, method development, and sample analysis reports. Maintain accurate and detailed records of all experiments and analyses. Collaboration & Communication Collaborate with manufacturing and preclinical teams to support pipeline needs. Communicate and present findings clearly to internal stakeholders. Qualifications: B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field. 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry. Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, dd PCR, and ELISA. Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL. Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.). Background in RNA-based therapies is highly desirable. Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.) Knowledge of FDA and ICH guidelines for method development, qualification, and validation. Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams. Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. Team-oriented thinking. Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.