Top Scientist Jobs in San Francisco, CA

Lead a team of research scientists and engineers in machine learning and Generative AI, defining research roadmaps, promoting collaboration, and driving execution from prototyping to deployment.

As a Research Scientist Intern, you'll work on machine learning problems, prototype features, write production code, and collaborate with mentors.

Lead the research function at a startup focusing on training manipulation policies and designing evaluation frameworks in robotics.

The role involves developing AI models to enhance clinical trials by connecting molecular data with clinical outcomes and supporting decision-making processes in drug development.

Manage financial markets risk portfolio by applying statistical and machine learning models to optimize forecasting and decision-making. Collaborate with cross-functional teams to provide actionable insights.

The Credit Strategy Lead will analyze data to propose credit risk strategies for lending products, collaborate with teams to drive revenue, and develop innovative risk management approaches.

The Safety Scientist provides safety science and pharmacovigilance support for clinical trials, including medical reviews and safety data evaluations.

The role involves designing and executing cell-based experiments to validate AI-generated predictions, maintaining experimental records, and collaborating with multidisciplinary teams to enhance model accuracy and experimental insights for drug discovery.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

Lead research on human-centered AI benchmarks, focusing on task performance and measuring human activity in AI workflows, collaborating with UXR, publishing findings.

The role involves applying AI to drug discovery, leading model validation and deployment, and ensuring effective communication between research and experimental teams.

The role involves advancing free energy methods in drug discovery, optimizing protocols, coding tools, and collaborating with cross-functional teams. Responsibilities include managing binding free energy calculations and ensuring method efficacy for project decisions.

Design and implement cheminformatics and AI workflows for small molecule drug discovery, collaborating with cross-functional teams to analyze complex data and provide insights.

The Scientist, AI Engineer role involves designing and deploying machine learning models for drug discovery, collaborating with cross-functional teams, and leveraging proprietary data to build AI-powered tools for medicinal chemistry and biology.

As a Research Scientist in Neural Reconstruction, you will develop algorithms for 3D/4D scene reconstruction using real-world sensor data, collaborate on large-scale simulation systems, publish research and mentor junior scientists.

Develop algorithms for World Models focusing on large-scale modeling for dynamic 4D environments. Conduct research in generative and predictive modeling, collaborate with engineers, and mentor junior scientists.

As a Staff Scientist, you will lead analytical development projects, validate methods, and communicate findings, contributing to innovative battery material solutions.

The Bioinformatics Scientist will build production-grade bioinformatics workflows, develop algorithms, integrate cutting-edge tools, mentor teammates, and enhance scientific UX for researchers.

The Senior Scientist will lead drug discovery efforts through in vitro pharmacology, designing assays, analyzing data, and collaborating with cross-functional teams.

The Senior Safety Scientist provides safety science and pharmacovigilance support for clinical studies, overseeing safety reports, protocols, and risk management strategies for oncology products.

As a Data Scientist, you'll provide insights to executives, use causal inference and forecasting methods, and build data products to impact business decisions.

As a Senior Data Scientist, you will solve machine learning problems in payment risk and build end-to-end ML solutions impacting business. Responsibilities include data analysis, model deployment, and collaboration with teams.

The Associate Scientist will design, execute, and analyze virology assays to support antiviral discovery, collaborating with researchers and maintaining data integrity.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.