ML Research Scientist, Behavior Planning & Prediction

Nuro; Mountain View (CA); On-site; USD 160,000 - 241,000; Full time

Benefits offered by this job

Annual bonus

Equity

Benefits package

Job summary

Nuro in Mountain View, CA is seeking a Machine Learning Research Scientist to advance behavior planning and prediction for autonomous driving. You will develop scalable ML models and collaborate with autonomy teams to translate research into real-world vehicle software.

The role emphasizes self-supervised learning, sequential decision making, and robust trajectory prediction, with opportunities to publish and contribute to exciting state-of-the-art methods while shaping the future of mobility.

Qualifications

• You have an M.Sc. or Ph.D. focusing on CS, AI, Mathematics, or related field.
• You have research experience in sequential decision making, imitation learning, deep RL, generative modeling, large models, or robotics ML.
• You have strong Python programming (required) and C++ (beneficial).
• You have publications in top conferences (e.g. NeurIPS, ICML, CVPR, RSS, ICRA).

Responsibilities

• Work on scalable ML-based planning and prediction for safe vehicle trajectories.
• Research generative sequence modeling and sequential decision making.
• Mitigate uncertainties across autonomy components and develop holistic solutions.
• Collaborate with autonomy teams to translate research into real vehicle software.

Skills

Python

C++

Sequential decision making

Imitation Learning

Deep Reinforcement Learning

Generative modeling

Large models

Machine learning for robotics

Education

M.S./Ph.D. in CS/AI/Math

Job description

Nuro in Mountain View, CA is seeking a Machine Learning Research Scientist to advance behavior planning and prediction for autonomous driving. You will develop scalable ML models and collaborate with autonomy teams to translate research into real-world vehicle software.

The role emphasizes self-supervised learning, sequential decision making, and robust trajectory prediction, with opportunities to publish and contribute to exciting state-of-the-art methods while shaping the future of mobility.