Top Scientist Jobs in San Francisco, CA

As a Senior Applied Scientist, you'll lead R&D on personalization methods impacting user engagement through collaboration with ML Engineers and stakeholders across the Crunchyroll ecosystem.

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.

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

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

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

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.

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.

The Data Scientist will collaborate with various teams, run experiments, analyze data to inform product strategy, and drive growth through advanced analytics and machine learning.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

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

The role involves defining product metrics, building analytics infrastructure, analyzing user behavior, and informing product decisions through data-driven insights.

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

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.

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

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

As a Staff Data Scientist, you will lead the Growth Analytics team, implementing data science techniques to drive product-led growth and influence strategies across various teams.

Seeking a Staff Data Scientist to collaborate with Marketing and Growth teams, applying machine learning to enhance customer acquisition and retention strategies. Responsibilities include mentoring, designing data science solutions, and influencing growth strategies through predictive modeling and statistical analysis.

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.

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

As a Clinical RWE Scientist, you'll design and execute real-world data studies, collaborate with clients, and ensure high-quality research delivery.

The Research Scientist will develop and execute high-throughput assays, collaborate with AI teams, and maintain scientific communication to characterize novel proteins in generative AI and biology contexts.

The Senior Scientist will oversee biomarker activities in clinical trials, analyze data, manage assay development, and support strategic initiatives in immune-mediated diseases.

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 role involves leading applied machine learning projects focused on spatial intelligence, designing ML systems, mentoring engineers, and ensuring code performance and maintainability.