Job Description
The role involves developing and deploying advanced generative models for autonomous driving, focusing on creating safe, efficient, and realistic driving behaviors, and collaborating across teams to solve complex autonomy challenges.
Key Responsibilities
- Develop and scale state-of-the-art generative models for autonomous plan generation.
- Build generative models utilizing foundation models, large language models, and world foundation models.
- Optimize generative models through reinforcement learning and reward modeling.
- Explore joint prediction, planning, and self-play techniques using generative models.
- Leverage generative models for active learning and world modeling.
- Develop controllable generative models to guide generation towards specific goals and conditions.
- Collaborate with autonomy teams to develop holistic solutions for autonomous driving challenges.
- Evaluate models by deploying them on the NuroDriver platform.
Requirements
- A Ph.D. in a relevant field or a Master's degree with at least 3 years of experience working with generative models in the lab, industry, or both.
- Research experience 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 such as NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, etc.
Benefits & Perks
Compensation/salary range between $193,930 and $352,290 per year, depending on experience, qualifications, education, location, and skills
Annual performance bonus
Equity
Competitive benefits package
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