San Francisco, CA30+ days ago
You will: • Owned model updates and model deployment in an automated data selection/model update pipeline, for an ML system serving millions of rides • Lead the design and implementation of data selection and incremental model updates, for a multi-billion parameter model • Developed and deployed methods for in-field monitoring of deployed ML models, and detect improvements or regressions after a model update, for an ML system serving millions of rides • Build resilient and high performing teams through people development and hiring • Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution • Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to: • (1) develop methods for efficiently and continuously learning from large scale real-world data, • (2) develop models and model training at scale, • (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, • (4) optimize models for our onboard and offboard hardware.