As a Senior ML Engineer at Uber's AV Labs, you will play a crucial role in developing core components of the Autonomous Driving stack. The team focuses on creating high-quality data for autonomous partners by addressing complex driving scenarios. You will leverage your expertise in machine learning to implement state-of-the-art methods and collaborate with engineers across various domains. This position emphasizes technical excellence and innovation in the rapidly evolving field of autonomous technology.

• 4+ years of working experience in the ML/Robotics industry.
• Bachelor’s degree in Computer Science, Computer Engineering, or related fields.
• Proficient in Python and Linux environments.
• Familiar with modern AI/ML frameworks such as PyTorch.

• Lead the development of algorithms to tackle complex urban environments, focusing on robustness and safety.
• Implement end-to-end AI-driven state-of-the-art methods for autonomy pipelines, leveraging massive-scale real-world data.
• Architect scalable ML systems, including management of upstream sensor dependencies.
• Partner with fellow engineers to architect, design, and build scalable solutions for ML technology.
• 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.