Machine Learning Research Scientist, Behavior Planning and Prediction

• 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, including areas like Embodied AI for robotics, Causal reasoning, Model interpretability and explainability, Joint prediction and planning.
• 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 to solve them.

This role contributes to making autonomy accessible to all by developing advanced machine learning solutions for autonomous driving, empowering a safer, richer, and more connected future.

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

Base pay range: $160,360 to $240,540/year, plus annual performance bonus, equity, and a competitive benefits package. Nuro celebrates differences and is committed to a diverse workplace that fosters inclusion and psychological safety for all employees.

Nuro is a self-driving technology company on a mission to make autonomy accessible to all, building the world's most scalable driver by combining cutting-edge AI with automotive-grade hardware and licensing its core technology to support applications from robotaxis to personally owned vehicles.