Top Scientist Jobs in San Francisco, CA

The Scientist II will carry out complex research projects, executing data analyses and communicating scientific findings for biopharmaceutical clients using the Tempus data platform.

The Senior Scientist will lead research projects for biopharma partners, integrating data analysis and providing insights to support drug development decisions.

This role leads early oncology clinical studies development, coordinates with teams, ensures quality clinical trial execution, and interprets clinical data.

Lead research on small language models, develop training methodologies, optimize architectures, ensure AI safety and mentor teams.

The role involves developing and deploying end-to-end machine learning models, enhancing valuation systems, and applying advanced AI techniques to improve data-driven decision-making.

As a Senior Research Scientist, you will develop and deploy machine learning models, focusing on pricing systems and integrating structured and unstructured data to improve decision-making.

The Research Scientist will develop innovative 3D animation and video generation techniques, advance avatar technologies, and collaborate with product teams to implement research findings.

The Research Scientist will develop innovative technologies for image and video quality enhancement, mentor interns, and collaborate with product teams for Snap's products.

Design and prototype intelligent systems for observability, lead reinforcement learning applications, collaborate with cross-disciplinary teams, and explore AI-driven paradigms.

Responsible for designing intelligent systems for observability, applying AI techniques, and collaborating with teams to enhance performance and observability depth.

Lead and coordinate early oncology clinical studies, ensuring scientific leadership, protocol development, data analysis, and collaboration with cross-functional teams to meet trial objectives.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

The Senior Applied Scientist will build models for credit risk and fraud functions, leveraging machine learning and collaborating with teams to derive insights from data.

The role involves enhancing ML models and architectures for pricing and valuation systems. Responsibilities include deploying AI across various data types and collaborating with cross-functional teams to improve model training pipelines.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

The Director, Oncology Early-Stage Clinical Scientist leads clinical research studies in oncology, focusing on the scientific execution and strategic planning of early clinical development for novel drugs.

Responsible for scientific oversight and quality of late-stage oncology clinical trials, partnering with colleagues to ensure successful execution, protocol authoring, and data analysis.

The role involves oversight of clinical trials in Late-Stage Oncology, ensuring data integrity, collaborating with teams, and authorship of key clinical documents.

As a Staff Applied Scientist, you will build causal inference models to assess product impacts, mentor colleagues, and advise leadership on product strategy.

In this role, you will lead pricing experimentation, develop pricing models, perform data analysis, and communicate findings to senior leadership.

The Senior Data Scientist will support Block's AI, Data, and Analytics team, focusing on payment analytics, A/B testing, and strategic analysis to optimize financial services.

As a Staff Data Scientist, you will lead A/B testing, reporting, and analysis for the Financial Platform, focusing on optimizing payment systems and building data products.

The role involves designing long video generation architectures, developing methods for coherence, and integrating research into production. Strong skills in temporal modeling and generative AI are required.

Lead research in video generation distillation, optimizing diffusion models for efficiency without compromising quality, and collaborating on implementation with engineering teams.

The Data Scientist I will engage with clients to solve scientific problems, guide them through platform usage, and enhance client experience through documentation and training.