Uber is launching AV Labs to enhance the autonomous technology ecosystem, focusing on collecting high-quality driving data. As a Machine Learning Engineer, you will develop advanced algorithms and models to extract semantic meaning from complex urban driving scenarios. The role requires collaboration with various engineering teams to deploy machine learning techniques effectively. The ideal candidate will have a strong background in machine learning and robotics, particularly in the context of autonomous driving.

• 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 environments.
• Familiar with modern AI/ML frameworks such as PyTorch.

• Develop algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases.
• Implement scalable ML systems, including management of upstream sensor dependencies.
• Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling.
• Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

• Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.