Top Scientist Jobs in San Francisco, CA

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

Develop and implement automated risk decisions to mitigate regulatory risks, collaborating with cross-functional teams to balance compliance and customer experience.

Lead R&D activities for product development, manage technical projects, communicate with stakeholders, and ensure quality during trials.

Responsible for scientific oversight, data integrity, and quality of clinical trials in Late-Stage Oncology, collaborating with various stakeholders, authoring key documents, and analyzing emerging safety profiles.

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

Lead and coordinate early-stage oncology clinical studies, managing protocol development, scientific leadership, and collaboration across teams to ensure successful trial execution 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.

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

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

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

The Machine Learning Scientist will research and implement machine learning models, collaborate on software solutions, and optimize data processing pipelines.

Responsible for scientific oversight and quality of clinical trials in Late-Stage Oncology, collaborating with teams and presenting data, while ensuring compliance and optimizing procedures.

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

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

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

As a Growth Data Scientist at Notion, you'll analyze product changes to enhance user experience, identify growth opportunities, and work closely with cross-functional teams to drive data-driven strategies.

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.

Lead the development of predictive models, ensuring business alignment and project management within the ML Business Modeling team, collaborating with engineers and stakeholders.

The role involves developing advanced predictive models, managing project timelines, collaborating with engineering teams, and ensuring model alignment with business needs.

The Sr. Data Scientist will enhance loss forecasting methodologies, analyze large data sets, and provide insights to stakeholders while automating processes.

The Staff Data Scientist will develop loss projections for lending products, analyze data to support strategic goals, and improve forecasting methodologies while collaborating with various teams.