Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The AI Research Engineer will enhance LLM-powered workflows by developing evaluation systems, analyzing data patterns, and integrating research into practical applications.

The AI Product Manager will lead model evaluation analysis and insight generation, transforming raw data into actionable strategies for model improvement. Responsibilities include creating evaluation processes, analyzing model failures, and structuring findings for effective communication.

Lead the design and operation of scalable backend systems for data generation and delivery, focusing on architecture, reliability, and integration with AI technologies.

As a Forward Deployed AI Engineering Manager, you will integrate AI with enterprise clients, lead a team to deploy solutions, and ensure successful AI adoption.

The Senior Software Engineer will drive the development of agent-powered data products, handling end-to-end product areas from frontend to backend, focusing on AI and intelligent workflows.

Conduct applied research in robotics and develop ML pipelines for training models on data collected by Scale, collaborating with customers and cross-functional teams.

Lead development of generative AI platforms for U.S. government, ensuring ethical deployment and compliance, managing the full product lifecycle, and engaging stakeholders.

The AI Product Manager will lead technical partnerships and build data strategies to advance AI model development, requiring a strong entrepreneurial mindset and software engineering background.

The Software Engineer will own full-stack product areas, building frontend with React/TypeScript and backend services in Python, while integrating with LLMs and AI infrastructure.

The Senior Full-Stack Engineer will develop and scale web applications, manage frontend and backend operations, and work with AI systems and databases to enhance product experiences.