Top Scientist Jobs in San Francisco, CA

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

Conduct research in computer graphics and AI, develop algorithms for film productions, collaborate on production challenges, and publish results in journals.

The Post-Training Research Scientist will focus on both pure and applied research in post-training methodology and inference, designing experiments, publishing findings, and collaborating with engineering teams to advance machine learning models.

The Research Scientist will design and execute R&D strategies for LLM agent technology, focusing on context management, serving methods, and model evaluation. Responsibilities include prototyping systems, improving agent workloads, and producing technical documentation.

The Scientist II develops and transfers assays for GMP release of gene therapy products, collaborates with teams, and leads product characterization activities.

Develop innovative machine learning algorithms for modeling proteins, collaborate with biologists, and refine predictions through experiments.

Lead the development of evaluation methodologies for large language models, collaborating with teams and publishing research findings. Enforce best practices in AI development.

The Scientist III will develop diagnostic tests focusing on molecular IVD tests for oncology, conducting lab experiments and collaborating on studies.

Lead acoustic consulting projects, delivering noise assessments, modeling, and mitigation strategies while mentoring junior staff and ensuring regulatory compliance.

As a Senior Staff Data Scientist, you'll leverage data analysis and ML models to support SoFi's Home Loans growth. This includes high-level technical leadership, mentoring, stakeholder communication, and building data pipelines.

Manage end-to-end Direct Mail campaigns, collaborate with marketing teams, analyze campaign effectiveness, and drive data-driven marketing strategies.

The DMPK Scientist will design and execute metabolite identification studies, characterize metabolites, and author DMPK sections for regulatory submissions while collaborating across functional areas.

As a Scientist in Machine Learning, you will develop novel models for RNA structure and drug targeting, advancing the R&D platform and collaborating with interdisciplinary teams.

The Research Engineer/Scientist will advance AI through innovative RL methods, focusing on training general-purpose agents and enhancing existing ML systems.

Research Scientist will develop methods for understanding LLMs, run experiments, analyze interpretability features, and communicate results. Collaborative team science is emphasized.

The role integrates molecular and genetic data with histopathology to support research and early-stage clinical programs, focusing on genomic characterization and immuno-oncology efforts.

The role involves developing computational image-analysis methods for digital pathology using machine learning and deep learning, collaborating with scientists, and generating quantitative insights from biomedical imaging datasets.

The Senior Safety Scientist provides safety science support for clinical studies, overseeing drug safety, reviewing documentation, and managing risk assessment activities in collaboration with internal and external stakeholders.

The Associate Scientist will optimize protein expression and purification processes, support drug discovery efforts, and collaborate with teams to analyze and present data.

The Senior Scientist will advance purification processes through high-throughput experimentation and mechanistic modeling, while collaborating with cross-functional teams to improve product development.

The Associate Scientist will contribute to the development and characterization of clinical-scale manufacturing processes for CAR T cell therapies, focusing on optimization and process understanding through experimental studies.

The role involves advancing information literacy through AI and machine learning by assessing media trustworthiness, formulating metrics, prototyping ML techniques, conducting exploratory data analysis, and collaborating with product teams to drive impactful research.

As a Field Data Scientist at Braze, you'll collaborate with clients on data integration, develop ML models, and ensure successful product adoption while shaping the product strategy.

As a Mass Spectrometry Scientist, you will develop mass spectrometry data analysis solutions, guide client projects, and provide scientific expertise.

As a Research Engineer/Scientist, you'll develop AI-empowered cyber tools, run experiments, collaborate on research, and inform policy on advanced AI threats.