Top Scientist Jobs in San Francisco, CA

The Senior Scientist conducts food ingredient research, oversees ingredient quality control, and collaborates with cross-functional partners for innovation and compliance.

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

The Senior Scientist II will lead AI-driven projects in oncology, developing agentic frameworks and predictive models while collaborating with teams and pharma partners.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

As a Staff AI Scientist, you will lead AI projects, design deep learning models using multimodal data, and ensure regulatory compliance in healthcare AI products.

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

Provide scientific oversight and data quality for late-stage oncology clinical trials; author protocols and regulatory documents; analyze emerging safety and efficacy data; partner cross-functionally to execute phase 3/pivotal programs and support regulatory submissions and governance.

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

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

The Sr. Applied Scientist will develop machine learning models to enhance NBA 2K's gameplay, focusing on matchmaking, user personalization, and in-game economies while collaborating with cross-functional teams.

The Data Scientist develops machine learning models for credit risk and operations, collaborating across teams to enhance decision-making and profitability.

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

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.

The Senior Data Scientist will drive member growth initiatives, establish measurement frameworks, optimize acquisition economics, and conduct analyses. Responsibilities include building models, tracking KPIs, and working cross-functionally to influence growth strategies.

As a Senior Data Scientist, the role involves leveraging data analysis, experimentation, and statistical methods to influence business decisions and enhance Gusto's product performance, while mentoring team members.

The Senior Data Scientist will leverage data insights to drive growth in lending, foster AI integration, and mentor colleagues while ensuring high-quality data reporting and visualization.

The Data Scientist will develop and implement machine learning models for credit risk and operational areas, collaborate across teams, and enhance data-driven decision-making processes.

Develop advanced machine learning and statistical models to support credit risk and operational strategies, collaborating with multiple teams to enhance business profitability.

Lead the Portfolio Management and Loss Mitigation function in Risk Data Science, developing machine learning models, enhancing predictive power, and overseeing team performance.

The Data Scientist will analyze data to provide insights, partner with teams for metrics, develop models, and create accessible visualizations to influence product and program strategies.

The Senior Staff Data Scientist leads data-driven insights for product development and strategy in the investment sector, collaborating with cross-functional teams and optimizing portfolio performance.

As a Principal Data Scientist at Gusto, you will lead data-driven strategies in payments, collaborate with engineering teams, drive A/B testing, develop predictive models, and build AI-native data products, ensuring data integrity and influencing business decisions.

The Senior Applied AI/ML Scientist will lead the design and deployment of AI solutions, collaborate on impactful features, and enhance product capabilities by leveraging advanced AI and ML techniques.

Design and build agentic AI workflows for biological and clinical data curation and analysis. Implement context engineering (RAG variants), prompt and agent architecture optimization, LLM tool-use integrations, and evaluation benchmarks. Collaborate with bioinformatics and clinical experts to translate domain problems into reliable, production-quality agentic systems.

Conduct research in computer graphics and AI, solve complex problems, lead projects, collaborate with production teams, and publish findings.