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 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.

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.

Lead the Machine Learning team to develop AI systems for public sector. Provide technical direction, mentor engineers, and ensure operational excellence while collaborating with 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 Director of Product Management will lead product strategy for AI Data Engine, driving business outcomes through collaboration across teams and mentoring PMs.

The role involves developing data solutions, collaborating with clients, designing experiments, and influencing product strategy, with a focus on AI applications.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.