Machine Learning Research Scientist, Behavior Planning and Prediction

The role

You will work on scalable machine learning based planning and prediction systems to generate safe and feasible trajectories for autonomous driving. You will research generative sequence modeling and sequential decision making to derive practical solutions for real-world vehicles.

What you will do

• Work on scalable machine learning based planning and prediction systems to generate safe and feasible trajectories for autonomous driving.
• Research generative sequence modeling and sequential decision making.
• Mitigate uncertainties accumulated through interconnected autonomy components.
• Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges.
• Understand issues, propose ideas, prioritize work and develop solutions.
• Derive practical solutions and deploy them on real-world vehicles.

Required qualifications

• M.Sc. or Ph.D. focusing on Computer Science, Artificial Intelligence, Mathematics, or a closely related field
• Subject matter expertise and research in one or more of the following areas: sequential decision making, Imitation Learning, Deep Reinforcement Learning, generative modeling, large models (pretraining
• Strong problem solving and programming skills in Python
• Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA)

Nice to have

• Ph.D.
• C++
• Embodied AI for robotics
• Causal reasoning
• Model interpretability and explainability
• Joint prediction and planning

Benefits

• Annual performance bonus
• Equity
• Competitive benefits package

About the company

Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Founded in 2016, the company is building a universal autonomy platform.