Top Scientist Jobs in San Francisco, CA

The Senior Marketing Scientist will drive performance improvement for advertisers using advanced analytics, lead measurement strategies, and develop insights while collaborating with cross-functional teams.

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

As a Research Scientist, lead original research in generative modeling and physical AI, focusing on real-world applications and publishing findings in top journals.

Drive original research at the intersection of generative modeling, embodied AI, and physical applications, aiming for top journal publications.

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.

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

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

As a Principal Applied Scientist, you'll define the technical vision for offer optimization and conversion modeling systems, ensuring alignment across teams while overseeing large technical initiatives and contributing to real-world machine learning solutions.

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

Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.

As a Senior Applied ML Scientist, you'll develop fraud detection models, research new fraud types, and write production code while collaborating across teams to enhance SentiLink's identity verification solutions.

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.

Lead design and delivery of AI/GenAI solutions: build and deploy scalable ML models, manage data pipelines and infrastructure, mentor teams, ensure data quality and compliance, and collaborate with stakeholders to drive AI-driven business outcomes.

Design, build, and deploy scalable AI and GenAI solutions by wrangling data, developing ML models, and maintaining data infrastructure. Collaborate with clients, perform complex analyses, apply NLP and deep learning techniques, and mentor junior team members to deliver production-ready AI systems.

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.

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

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.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.

Lead data science efforts by providing insights to executives, leveraging AI, and building data products while mentoring juniors.

The role involves analyzing fraud and risk data, defining KPIs, collaborating on anti-fraud strategies, and creating tools and dashboards for data accessibility at Whatnot.

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 Senior Data Scientist, you will lead AI risk assessments, coordinate with stakeholders, and ensure effective AI governance practices for safe financial application deployment.

As a Staff Data Scientist, you will lead product analytics, define measurement strategies, drive cross-team initiatives, and mentor junior data scientists to enhance mental healthcare outcomes.

As a Staff Data Scientist for Marketing Analytics, you will lead marketing performance analysis, develop measurement frameworks, and influence strategic decisions to drive patient growth.