Nuro
Staff/Lead Machine Learning Research Scientist, Behavior & Planning
Mountain View, California (HQ). Posted 3 months ago
The role
You will be a technical leader on the Behavior & Planning team. You will design, train, and productionize machine learning models to drive safe and natural driving behavior on real vehicles.
What you will do
- Lead ML initiatives across the autonomy stack from idea to on-road deployment.
- Design, train, and productionize state-of-the-art models.
- Build behavior and planning models that generalize to new cities and vehicle platforms.
- Partner with Perception, Simulation & Evaluation, and ML Infra & Data teams.
- Mentor engineers and researchers and help shape technical strategy.
Required qualifications
- 7+ years building and deploying machine learning systems.
- 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.
- Depth in sequential decision making, prediction, generative modeling, foundation/world models, or representation learning.
- Understanding of the full ML development cycle.
- Strong problem-solving and programming skills in Python and/or C++.
- Ability to lead initiatives and operate independently with minimal oversight.
- Efficient and clear communication skills.
Nice to have
- Prior experience in autonomous vehicles or robotics.
- Familiarity with how ML fits into a complete autonomy/planning stack.
- Experience mentoring engineers or leading a team.
- Familiarity with at least one major ML framework (PyTorch, JAX, TensorFlow).
- Research contributions in top venues (e.g., NeurIPS, ICLR, ICML, CVPR, RSS, CoRL).
Benefits
- Annual performance bonus
- Equity
- Competitive benefits package
About the company
Nuro is a physical AI company developing Level 4 autonomous driving technology. Founded in 2016, it is building a universal autonomy platform for various vehicles and use cases.