Senior principal scientist jobs in Redwood City, CA - 1,582 jobs

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 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

A pioneering AI company in San Francisco is seeking a talented AI Researcher to push the boundaries of custom AI research and model training. You will lead experiments in model architectures and fine-tune techniques for efficiency, collaborating with a skilled team. Ideal candidates have a strong background in training with PyTorch and experience in optimizing LLMs. This role offers competitive compensation ranging from $250K to $350K, along with equity and benefits. #J-18808-Ljbffr

A 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

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

A 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 leading technology company is seeking a Principal Applied AI Scientist to define AI and foundation models' strategic vision, lead groundbreaking research initiatives, and mentor technical talent. Candidates should have a PhD in Computer Science, 8+ years of industry experience, and proficiency in Python and deep learning frameworks. This role emphasizes collaboration, innovation, and the application of advanced AI for real-time data processing. Competitive salary and comprehensive benefits offered in a flexible work environment. #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

A global financial services firm in California seeks a passionate Machine Learning Scientist with a strong background in data analytics. The ideal candidate will have a PhD in a quantitative field or a master's with relevant experience, and proficiency in programming languages such as C/C++, Java, or Python. Responsibilities include research and development of machine learning models, collaboration with various business lines, and designing scalable data pipelines. This position offers an opportunity to significantly impact the firm's data-driven solutions. #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

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.

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

A leading data and AI platform in San Francisco is seeking a Research Scientist for the GenAI Team. This role involves advancing deep learning techniques and working with large-scale LLMs. The ideal candidate will have a passion for innovation, solid machine learning skills, and a commitment to improving user experiences. Competitive compensation ranges from $150,000 to $190,000 USD, reflecting the importance of this role within the company. #J-18808-Ljbffr