Uber is launching AV Labs to enhance the autonomous technology ecosystem, focusing on collecting real-world driving data to support autonomous partners. The role of ML engineer involves conducting research for autonomous vehicles, formulating research problems, and designing novel modeling approaches. The ideal candidate will work cross-functionally with engineers and influence the direction of autonomous vehicle research. This position emphasizes technical leadership and collaboration within a high-velocity team of experts.

• PhD or MS with equivalent industry experience in Computer Science, Robotics, or a related field.
• 3+ years of relevant industry experience in the field of autonomous vehicles and/or computer vision.
• Strong understanding of connecting cutting-edge modeling techniques to autonomous vehicles research in a scalable and reliable way.
• Demonstrated technical contributions, such as publications at leading ML and CV conferences.
• Proficiency in Python and modern deep learning frameworks such as PyTorch or TensorFlow.
• Strong communication skills with experience in providing technical leadership.

• Design and develop frontier techniques for autonomous vehicle research.
• Lead the end-to-end model lifecycle and system architecture from data and training through evaluation, deployment, and monitoring.
• Provide technical leadership through design reviews, mentorship, and hands-on execution.
• Collaborate closely with engineering teams and product teams across AV Labs.
• Publish and present original research at top-tier CV and ML conferences.

• 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.