Lead Machine Learning Engineer, Behavior & Planning

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world.

• 7+ years building and deploying machine learning systems, with a track record of leading complex, multi-team technical initiatives.
• M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field or equivalent practical experience.
• Strong, general machine learning foundations. You can reason from first principles across model architectures, training, and evaluation, and clearly explain and apply state-of-the-art techniques. Depth in some of: sequential decision making, prediction, generative modeling, foundation/world models, or representation learning.
• Understanding of the full ML development cycle, from data collection and training to deployment, onboard inference considerations, and data iteration loops.
• Strong problem-solving and programming skills in Python (required) and/or C++.
• Demonstrated ability to lead initiatives, collaborate across many different teams, and operate independently with minimal oversight.
• Efficient and clear communication skills are a must, with the ability to align cross-functional stakeholders.
• Strong preference for prior experience in autonomous vehicles or robotics, and familiarity with how ML fits into a complete autonomy/planning stack, though we hire strong general-ML talent from adjacent domains and value the ability to ramp on a new domain quickly.
• Experience mentoring engineers or leading a team, and interest in growing into a management or tech-lead track.
• Familiarity with at least one major ML framework (PyTorch, JAX, Tensor Flow).