Senior/Staff Machine Learning Research Scientist: Generative Modeling for Planning

The role

You will collaborate with researchers and engineers to tackle plan generation challenges in autonomous driving. You will develop and scale state-of-the-art generative models to generate safe, comfortable, and efficient driving behaviors.

What you will do

• Develop and scale state-of-the-art generative models for autonomous plan generation.
• Build generative models with foundation models.
• Optimize generative models using reinforcement learning.
• Develop controllable generative models to guide the generation process.
• Collaborate across autonomy teams to develop holistic solutions.
• Evaluate solutions by deploying models on to the NuroDriver.

Required qualifications

• M.Sc. with 3+ years of experience working with generative models in the lab, in industry, or both.
• Research experiences in generative models, particularly diffusion models, flow matching and energy-based models, for robotics, including manipulation, path planning, and autonomous driving.
• Strong problem solving and programming skills in Python and/or C++.
• Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL etc.).

Nice to have

• Ph.D.
• Experiences in vision-language-action models, reinforcement learning for generative model optimization, video generation, text-to-image generation, diffusion models for LLMs, world foundation models,

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 a wide range of vehicles, use cases, and markets.