Scientist jobs in Livermore, CA - 2,583 jobs

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

### 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

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

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

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

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

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

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

Are you a hardworking and dedicated research professional interested in being part of breakthrough Research? When you join Cedars-Sinai, you become part of a team that is at the forefront of medical advancements and life-saving medical and scientific breakthroughs. Cedars-Sinai is one of the leading institutes for driven research funding from the National Institutes of Health. Principal Investigator, Pascal Sati, PhD is searching for a Research Associate I to join the team! The Sati Laboratory focuses on the development of novel imaging biomarkers, magnetic resonance imaging (MRI) techniques, and artificial intelligence (AI) methods that strive to improve the clinical care offered to those impacted by neurological disorders. To learn more, please visit the Sati Research Lab. Working under direct supervision, the Research Associate I performs a variety of computational procedures to support the objectives of the laboratory research projects in Neuroimaging. Assists in laboratory activities, including maintenance of imaging pipelines and computer equipment. Keeps accurate and detailed records of imaging dataset, pipelines and results. The incumbent will be able to perform routine image processing and analysis of neuroimaging dataset. This position does not have supervisory responsibilities. Primary Duties and Responsibilities: Performs a variety of routine laboratory tasks and procedures related to Neuroimaging. Assists in the operation of specialized computing equipment. Performs lab maintenance duties, including data backup and software upgrades. Assists students and fellows at the laboratory. Maintains lab computer equipment and related records. Observes and aligns with safety standards and procedures. Department-Specific Duties: Performs image processing, image segmentation and image analysis of neuroimaging dataset. Implements and optimizes image processing algorithms used in neuroimaging research. Qualifications Education: Bachelor's degree in a Science related field, required. Experience and Skills: Research laboratory experience is preferred. Understanding of general research objectives. Solid understanding of programming languages, neuroimaging tools, computing environments, database management, personal and server computers, and statistical platforms. Experience with routine imaging processing procedures for neuroimaging research. Must possess digital literacy to include, but not limited to, Unix/Linux systems, Python, Matlab, Bash, R, REDCap, SPSS and Excel. About UsCedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents. About the TeamCedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most. Req ID : 13460 Working Title : Research Associate I - Sati Lab - Department of Neurology Department : Neurology Business Entity : Cedars-Sinai Medical Center Job Category : Academic / Research Job Specialty : Research Studies/ Clin Trial Overtime Status : NONEXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $24 - $29.87

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

About Hedra Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence. At the core of Hedra Studio is our Character-3 foundation model, the first omnimodal model in production. Character-3 jointly reasons across image, text, and audio for more intelligent video generation - it's the next evolution of AI-driven content creation. At Hedra, we're a team of hard-working, passionate individuals seeking to fundamentally change content creation and build a generational company together. We value startup energy, initiative, and the ability to turn bold ideas into real products. Our team is fully in-person in SF/NY with a shared love for whiteboard problem-solving. Overview We are seeking a Research Scientist to lead innovation in video generation distillation, including step distillation, model size reduction, and efficient inference methods. This role focuses on making state-of-the-art video diffusion models faster, lighter, and more deployable without sacrificing quality. The ideal candidate will be experienced in model compression techniques and capable of bridging cutting-edge research with production needs. Responsibilities Research and develop distillation techniques for video diffusion models, including step distillation, layer pruning, and knowledge transfer. Optimize models for latency, memory footprint, and energy efficiency while maintaining high generation quality. Collaborate with engineering to implement and benchmark accelerated inference pipelines. Monitor and evaluate advancements in model compression, quantization, and efficient generative modeling. Present findings to the team and contribute to publications or patents where applicable. Qualifications PhD or strong industry experience in Machine Learning, with a focus on model compression, distillation, or efficient deep learning. Strong understanding of diffusion models and their training/inference workflows. Proficiency in Python and PyTorch; familiarity with performance profiling and optimization. Experience with quantization, pruning, and low-rank adaptation techniques is a plus. A record of impactful work in model efficiency, either in research or production. Benefits Competitive compensation + equity 401k (no match) Healthcare (Silver PPO Medical, Vision, Dental) Lunch and snacks at the office We encourage you to apply even if you don't meet every requirement - we value curiosity, creativity, and the drive to solve hard problem #J-18808-Ljbffr

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

A multi-modal foundational AI company is seeking a Foundational AI Research Scientist to lead research on large-language-model architectures. The role involves designing and validating new transformer variants and attention mechanisms for production systems. Ideal candidates will have a Ph.D. and 3+ years of industry experience in AI research, with deep knowledge of sequence modeling architectures and pre-training of large models. The position offers a competitive salary, flexible PTO, and comprehensive benefits. #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

Join Dr. Clive Svendsen and his research group as a Research Associate I in the Cedars-Sinai Regenerative Medicine Institute! The Svendsen Laboratory at Cedars-Sinai Medical Center, Regenerative Medicine Institute is looking for personnel to join our dynamic group. The mission of the Svendsen Laboratory is to study neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS), Huntington's disease (HD), spinal muscular atrophy (SMA), Parkinson's disease (PD) and Allan-Herndon-Dudley syndrome (AHDS) using stem cells as a disease treatment, as well as a tool for modeling these diseases in vitro. Clive Svendsen, PhD, has significant experience in studying these diseases over the last twenty years and is merging his experience with the use of leading-edge technologies, such as inducible pluripotent stem cells (iPS cells). To learn more, please visit: Svendsen Research Lab | Cedars-Sinai (cedars-sinai.edu). Are you ready to be a part of breakthrough research? The incumbent should have an interest in the basic science of stem cells and neuroscience. By understanding how the cells grow and differentiate we will be able to produce a better cell for transplantation and develop techniques for disease modeling. Working under direct supervision, the Research Associate I will perform a variety of routine experimental protocols and procedures to support the objectives of one or more laboratory research projects in a specific area of research. Assists in general laboratory activities, including maintenance of reagents and stocking of supplies. Files and monitors documents. The RA I will be able to perform routine cellular, micro-and molecular biology procedures including, but not limited to Western, Northern blot, DNA/RNA, PCR, protein extraction, cell culture, Immunohistochemistry, and staining. This position does not have supervisory responsibilities. Primary Job Duties and Responsibilities: Keeps accurate and detailed project records of experiments and results. May assist with animal husbandry. Maintains lab equipment and related records. Transports, processes and logs samples. Maintains computer database with relevant clinical information. Performs lab maintenance duties, including glassware cleaning and sterilization. Maintains stocks of general lab materials, and places orders for lab equipment and supplies in a timely manner. Assists new students and fellows at the laboratory. Assists in the operation of specialized equipment and machinery. Observes and follows safety standards and procedures. Qualifications Education: Bachelor's degree in biological sciences is required. Experience and Skills: 1-2 years of laboratory experience is preferred. Understanding of general research objectives and familiarity with microscopy. Knowledge of routine laboratory procedures, experimental protocols, and overall lab organization. Working knowledge of database management, personal computers, and presentation and imaging software. Must possess computer skills to include, but not limited to, Excel and Word. Excellent written and oral communication skills are essential. Function efficiently and cooperatively with a team of faculty, research associates, technicians and students. Scheduling flexibility and timeliness including evening, weekend, and holiday rotation commitment. Travel may be required. About UsCedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents. About the TeamCedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most. Req ID : 13604 Working Title : Research Associate I - Svendsen Lab - Regenerative Medicine Institute Department : Research - RMI Business Entity : Cedars-Sinai Medical Center Job Category : Academic / Research Job Specialty : Research Studies/ Clin Trial Overtime Status : NONEXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $24 - $29.87