Top Tech Jobs & Startup Jobs in San Francisco, CA

As a Senior Staff Machine Learning Engineer, you'll lead strategic execution for ML systems and infrastructure, deploying large models, mentoring engineers, and defining streamlined innovative processes for data management and model training.

As the Engineering Manager for Build Platform, you will lead the team in enhancing the C++ and Python development workflows, optimizing build systems, and supporting AV developers. You will manage technical projects, collaborate cross-functionally, conduct code reviews, foster engineer mentorship, and drive software engineering best practices.

The Senior Full-Stack Software Engineer II at Cruise will design and implement user interfaces and data visualization applications for machine learning models. Responsibilities include collaborating with product managers and designers, building automation for insights on model performance, and driving best practices in software design and architecture.

The Senior Executive Assistant will support Directors in the Safety and Systems organization, manage calendars, create presentation materials, coordinate meetings, handle requests, and assist in recruitment efforts to enhance departmental connectivity and productivity.

The Staff Technical Lead Manager for Behaviors at Cruise is responsible for developing machine learning models for autonomous vehicles, optimizing on-road performance, and guiding technology choices. This role involves collaborating with other teams to leverage data from various sensors to enhance vehicle navigation and safety, while also mentoring engineers and driving consensus on technical issues.

As a Staff IT Engineer at Cruise, you will lead technical aspects of software development for Corporate Engineering systems. Responsibilities include developing applications and services, assessing technology strategies, managing complex projects, and collaborating with various teams to deliver high-quality software using Agile/Scrum methodologies.

As a Senior ML Engineer II, you will develop and optimize machine learning systems for self-driving vehicles, collaborate with various teams, design tools for ML optimization, ensure system performance through testing, and continuously improve inference models.