The Senior ML Engineer and Staff ML Engineer roles at Uber's AV Labs focus on developing advanced autonomy algorithms and models to enhance the understanding of driving data. The team aims to tackle complex challenges in autonomous vehicle technology by leveraging real-world data. Candidates will lead the technical direction and implementation of machine learning techniques while mentoring other engineers. This position emphasizes the importance of technical excellence and cross-organizational collaboration.

• 8+ years of working experience in the ML, Robotics, or Autonomous Systems industry.
• Proven experience leading large-scale technical projects from conception to production.
• Bachelor’s degree in Computer Science, Computer Engineering, or related fields.
• Expert-level proficiency in Python and Linux environments.
• Deep expertise in modern AI/ML frameworks such as PyTorch.

• Lead the strategy for the development of autonomy algorithms and foundation models.
• Design and oversee the implementation of complex, large-scale ML systems.
• Mentor senior and lead engineers, fostering a culture of rigorous experimentation.
• Define the requirements for high-quality datasets and auto-labeling systems.
• Act as a bridge between AV Labs and other Uber engineering units.

• 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.