Top Scientist Jobs in San Francisco, CA

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.

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 Research Scientist will explore improving deep learning models via training data interventions, collaborate with engineers and focus on customer-driven research outcomes.

As a Senior Machine Learning Scientist, you will develop multimodal foundation models using large-scale single-cell datasets to advance drug discovery, applying deep learning methods and collaborating with biologists and engineers.

Senior Research Scientists work on deriving probabilistic ML theory, scaling experimentation, implementing models, publishing findings, and creating production models. They collaborate with researchers and engineers and must become experts in various fields.

The role involves researching and developing training strategies for large language models, focusing on their applications in scientific reasoning and performance evaluation.

The Research Scientist will develop and enhance simulation agents using advanced machine learning techniques, mentor junior team members, and publish research findings.

The intern will architect and implement battery models, analyze electrochemical data, and assist in software infrastructure development while collaborating with scientists.

The Research Scientist/Engineer will develop techniques to enhance truthfulness in AI language models, focusing on accuracy and minimizing hallucinations through various methodologies.

As a Research Engineer, you will develop large scale ML systems, optimize infrastructure and enhance research tools while ensuring reliability and safety.

The Research Scientist will design and run research experiments to assess societal risks of advanced AI models, producing insights and evaluation metrics to guide technology development.

The Machine Learning Scientist will use insitro's TherML platform to develop oligonucleotide designs and collaborate across teams for drug discovery.

The role involves designing ML systems for Search Ads, focusing on improving ad relevance and personalization with large language models and deep learning.

Lead the development of machine learning models for ad bidding at Faire, optimizing performance and influencing marketplace strategy.

The Research Scientist will design evaluation measures for AI systems, collaborate with agencies, and publish research on AI risks.

The Principal Scientist will lead the development of bioanalytical strategies, oversee assay development, collaborate across teams, and ensure regulatory compliance. Responsibilities include data analysis, troubleshooting, mentoring, and managing CROs.

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

As a Staff Data Scientist at Gusto, you will drive data-informed decision-making, lead projects, collaborate with teams, and mentor others in statistical analysis and experimentation.