Machine Learning Engineer II - AV Labs

Machine Learning Engineer II - AV Labs Department: Engineering Team: Machine Learning Location: Sunnyvale, United States Type: Full-Time **About the Role** Uber is launching **AV Labs** to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match. As a ML Engineer, you will be at the forefront of **Physical AI**, developing core components of our **Autonomous Driving** stack. You will be responsible for the development and implementation of the latest machine learning techniques across **the autonomy** systems. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar. You will collaborate with engineers across big data, compute, and cloud engineering to build platforms that harness scale and real-world complexity to reimagine how the world moves. **What You Will Do** - **Autonomous Driving Algorithm Development:** Develop algorithms to tackle complex urban environments, focusing on robustness and safety. - **End-to-End AI Implementation:** Implement end-to-end AI-driven state-of-the-art methods for autonomy pipelines, leveraging massive-scale real-world data. - **Dataset Optimization:** Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling. - **Cross-Functional Collaboration:** Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production. **Basic Qualifications** - 2+ years of working experience in the ML/Robotics industry. - Bachelor’s degree (or higher) in Computer Science, Computer Engineering, or related fields. - Proficient in Python and Linux environ