Top Scientist Jobs in San Francisco, CA

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

The Machine Learning Scientist will lead open-source research, design experiments, develop novel methodologies, and analyze large-scale data to advance AI model evaluation and transparency.

Lead development of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks to enhance molecular engineering and experimentations.

The role involves designing and optimizing biomolecules for brain-computer interfaces by utilizing protein engineering strategies, collaborating with computational teams, and developing novel screening methods.

The Research Platform Scientist will build high-efficiency experimental pipelines, collaborating with scientists and engineers to enhance throughput in molecular biology efforts.

The ML Research Scientist will design Bayesian optimization frameworks, collaborate with lab scientists, and integrate ML models with experimental data.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

Design and validate biological strategies for durable immune tolerance to proteins for brain-computer interfaces, working on immune characterization and collaboration across disciplines.

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.

The Senior Data Scientist will develop and validate AML models, oversee implementation, ensure compliance with regulations, and collaborate with governance units.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

Lead electrolyte innovation for lithium-ion batteries, focusing on high-Ni and silicon-based anodes. Develop formulations, solve interfacial challenges, and ensure commercial viability.

The R&D Scientist will contribute to the development of novel assay technology, design experiments, analyze data, and innovate solutions for R&D challenges.

The Marketing Data Scientist role involves optimizing media spend, maintaining dashboards, supporting marketing forecasts, and collaborating with senior data scientists for insights.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

The role requires analyzing AI behavior using tools like Clio, conducting evaluations for safety and quality, and collaborating across teams to drive societal impact research.

The Machine Learning Research Engineer will design and develop robot learning algorithms for manipulation tasks, leveraging large-scale data collection to improve robotic behavior and collaborating with the robotics team.

Lead and manage a team researching embedding models and retrieval systems for AI, focusing on relevance, adaptive reasoning, and innovative representation techniques.

As a Research Scientist, develop machine learning techniques, advance research agendas, and collaborate with peers to achieve impactful results.

Collaborate with researchers and designers to advance computing technologies, focusing on training language models for UI generation and evaluation.

The Senior/Staff Applied Scientist at Glean will enhance document indexing and retrieval algorithms, manage A/B testing platforms, and evaluate generative AI use cases, leveraging strong statistical and machine learning skills.

The Research Scientist will conduct original research on AI interpretability, prototype visualization techniques, and collaborate on research-to-production projects.

The role involves leading nonclinical development for gene therapy, managing studies, collaborating with teams, and engaging with regulatory agencies.

The Senior Scientist, Bio AI will leverage AI and bioinformatics to design novel genetic medicines and analyze experimental datasets, contributing to cancer diagnostics and treatment development.

The Director, Decision Scientist will shape product strategy, define risk policies, leverage data for continuous improvement, and maximize customer LTV.