Top Tech Jobs & Startup Jobs in San Francisco, CA

The Senior Engineering Manager will oversee the ML Data Shop team, focusing on developing a data labeling platform while ensuring high-quality output. This role includes collaborating with stakeholders to identify needs, translating them into actionable goals, and hiring/managing a team of engineers.

As a Senior Full-Stack Engineer on the Machine Learning Platform team, you will design web-based tools for visualizing machine learning models, automate insights for model performance improvement, and collaborate with machine learning engineers to enhance existing systems. You'll also drive best practices in software design and code quality.

As a Technical Program Manager, you will manage processes related to privacy, security, and AI governance in data stewardship. This includes overseeing data subject rights requests, developing policies, providing technical guidance for product development, and reporting on governance initiatives' effectiveness.

The Senior Program Manager II will lead the Operational Resilience Program, ensuring the readiness and response of teams at Cruise. Responsibilities include designing and facilitating crisis simulations, analyzing exercise findings for improvement, managing program metrics, and presenting strategic reports to leadership.

The role involves managing the Consumer Technology team, overseeing applications related to customer, marketing, and risk management, ensuring effective deployment and scaling of systems, collaborating with business partners for requirements, leading project planning, and driving continuous process improvement.

The Staff Machine Learning Engineer is responsible for developing machine learning models for self-driving vehicles, focusing on prediction, trajectory generation, and on-road performance optimization. This includes researching new algorithms and driving technical leadership in the department while collaborating with various teams to refine technology choices.

The Senior Machine Learning Engineer II will design and implement shared infrastructure and tooling for AI Robotics teams, optimize on-road performance for AI models, and accelerate training frameworks. Expected to manage technical projects from inception to completion with a focus on scalability and engineering excellence.