Senior scientist jobs in Fremont, CA - 1,577 jobs

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

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

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 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

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

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

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 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

We are seeking an Associate Scientist to join Client's In Vivo Pharmacology team in Foster City and more specifically the group responsible to conduct ex vivo analyses related to in vivo studies in mice. The candidate will join an established group, playing a key role in providing a mechanistic understanding for in vivo pre-clinical studies in support of multiple programs utilizing engineered human chimeric antigen receptor T cells (CAR T cells). Responsibilities: · Characterization of immune parameters such as cell expansion and phenotype, from ex vivo blood samples from pre-clinical mouse studies with engineered human CAR T cells · Process and analyze ex vivo blood samples through flow cytometry, molecular biology and other analytical techniques · Check antigen expression by flow cytometry of tumor cell lines for use in in vivo studies · Work collaboratively in a cross-functional team environment · Present and participate in project team meetings and cross-departmental team meetings · Share core values such as passion, teamwork, integrity and trust Basic Qualifications: Master's Degree and 2+ years of scientific experience OR Bachelor's Degree and 4+ years of scientific experience OR AA Degree and 5+ years of scientific experience OR High School Degree and 6+ years of scientific experience Preferred Qualifications: · MS or BS in Biology or related discipline · 3+ years of experience with multi-color flow cytometry and complex fluorochrome-conjugated antibody panels · Immunology background, with experience in phenotypic analysis of multiple human immune cell populations and markers of activation/exhaustion · Experience in data analysis software including FlowJo, GraphPad Prism and BD FACSDiva · Experience in additional molecular biology techniques such as dd PCR · Demonstrated ability to independently conduct analyses while working efficiently as part of a team · Ability to multi-task, perform work with a high degree of integrity and attention to detail, and be part of an exciting fast-paced scientific environment · Strong organizational and time-management skills, thorough record keeping skills (documentation and electronic lab notebook, Benchling), strong ability to troubleshoot independently and to provide high-quality results through critical analysis and interpretation, excellent interpersonal, verbal and written communication skills

Senior Scientist Santa Clara, CA Pay rate: $40+ an hour Our clients long-term vision is to use digital technology as part of a holistic approach to surgery across the episode of care to enhance surgical efficiency, promote better clinical outcomes and increase patient satisfaction. This position will serve as a scientific contributor for the development and execution of preclinical evidence strategies necessary to competitively position a product for domestic and international regulatory and clinical acceptance. Responsibilities Include · Leads and supports product evaluations involving animate, inanimate, and cadaveric models · Performs research supporting development of products or procedures in minimally invasive robotic surgery · Assisting or conducting investigations for medical device development and preclinical evidence generation aligned to R&D, Regulatory, and Commercial needs · Coordinate and ensure accurate documentation of laboratory activities · Conduct lab activities in compliance with USDA, AAALAC, and Animal use policies · Ensure compliance with 21 CFR Part 58 - Good Laboratory Practices · Contribute and support the design of appropriate studies to meet premarket and post market needs · Design, plan and execute preclinical animal studies for the assessment of safety, performance, and effectiveness Act as study coordinator in support of the Study Director Act as Study Director projects of varying levels of complexity · Assess, communicate, and manage the risks associated to the preclinical evaluation of products. · Assist in appropriate interpretation and dissemination of all evidence generated, based on evidence dissemination strategy, including study reports, abstracts, manuscripts, etc. · Demonstrate the ability to work effectively in a team-oriented environment that embraces ownership and accountability for innovation, change, risk, and flexibility · Build successful relationships internally and develop partnerships with key business partners Qualifications · A minimum of a bachelor's degree in Biological Science or a related discipline is required. Experience and Skills: · A minimum of 5 years of related scientific / technical experience within preclinical research is required. · Experience in preclinical science and processes along with an understanding of medical device development processes, related healthcare market environment, clinical trends, and preclinical regulations is required. · Track record of contributing to preclinical programs on time, within budget and in compliance to SOPs and regulations is required. · Experience working in a GLP environment and direct experience executing preclinical studies · Understanding of good documentation practices · Familiarity with animal welfare regulations and IACUC Preferred: · Experience working in Medical Devices or Robotics is preferred · Experience working with large animal models is desired · Experience in support of global regulatory submissions for medical devices, biologics, or drugs (including PMA/BLA/NDA and/or their global counterparts) is preferred.

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

Uncountable is seeking a scientific implementation associate who can bring a passion for science and data into a career in business development. This implementation role is designed to help bring both the scientist and their science into the Uncountable ecosystem. In this role you will both support existing customers with new implementation initiatives and support implementation of new customers. You will restructure and contextualize customer data, design implementation data structures within Uncountable, and configure our platform for value-adding use across an organization. This is a fast-paced, project-oriented, customer and engineering facing role. This position demands a passion for data and material science, strong communication and time management skills, and the ability to empathize both emotionally and scientifically with a variety of users spanning the R&D landscape. Within 30 days you will be restructuring customer data to support ongoing implementing efforts. You will work with our account management team to faithfully configure experiments within the platform for scientists. Within 90 days you will begin to lead implementation projects for existing customers, facilitating meetings, collaborating with the account management team on timelines and deliverables, and ensuring success for new usage within our platform. Within 180 days you will take ownership of the implementation process for a new customer. You will lead demos, orchestrate meetings, set timelines, and advocate for new product development to meet the unique needs of our most exciting customers. Salary 70-80k Per Year, in addition to performance bonus and equity Relevant Experience, Skills, and Preferences Bachelor's degree or 2+ years experience in some scientific field (chemistry, biology, materials science, chemical engineering, or related fields) Affinity and familiarity working with data in Excel (Python or other coding skills amajorplus) Excellent virtual and in-person communication skills #J-18808-Ljbffr

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

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 generative media company in San Francisco is seeking a highly motivated Research Scientist to innovate in long-form video generation. The ideal candidate will design architectures for auto-regressive modeling and causal attention, and work with engineering on production integration. Candidates should have a strong background in Computer Science or related fields, with proficiency in Python and PyTorch. Competitive compensation and equity are offered. #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 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