Uber is launching AV Labs to enhance the autonomous technology ecosystem, focusing on collecting real-world driving data. The role involves developing advanced autonomy algorithms to enrich data and improve scene understanding. The ideal candidate will tackle complex edge cases and implement robust algorithmic solutions. This position requires collaboration with various engineering teams to deploy machine learning techniques effectively.

• 2+ years of working experience in software engineering.
• Bachelor’s degree (or higher) in Mathematics, Physics, Computer Science, Computer Engineering, or related fields.
• Experience in the Autonomous Driving domain is preferred.
• Proficient in C++ and Linux environments.
• Proven track record of deploying algorithms in safety-critical physical systems.
• Master’s or PhD degree in Computer Vision, Game Theory, Robotics, or Machine Learning is preferred.
• Familiarity with Python.

• Develop algorithms that extract high-fidelity semantic meaning from complex urban edge cases to enrich the L4 data lake.
• Architect onboard systems, including management of upstream sensor dependencies and evaluation metrics for the stack.
• Define the requirements for high-quality large evaluation datasets and objective metrics to evaluate the performance of the system.
• 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.