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

What you'll do

• Develop and scale generative models for autonomous plan generation, including diffusion, flow-matching, and energy-based approaches.
• Optimize and control models using techniques such as reinforcement learning, reward modeling, and foundation models.
• Collaborate across autonomy teams, evaluate models, and deploy them on the NuroDriver.

What they ask for

• Ph.D. (preferred) or M.Sc. with 3+ years of experience working with generative models.
• Research experience in generative models, particularly diffusion models, flow matching, and energy-based models for robotics.
• Strong problem-solving and programming skills in Python and/or C++.
• Demonstrated research publications in top conferences.

Nice to have

• Experience with vision-language-action models, reinforcement learning for generative-model optimization, video generation, text-to-image generation, diffusion models for LLMs, or world foundation models.
• Ph.D. (preferred).

Pay

$193,930 and $352,290/year (USD, base pay range)

Tools

Python, C++, diffusion models, flow matching, energy-based models, large language models, world foundation models, reinforcement learning

AI focus

Generative modeling for autonomous driving plan generation, including foundation models, reinforcement-learning optimization, controllable generation, and model deployment.