Job Description
A research-focused role involving the development and deployment of advanced generative models for autonomous driving, including plan generation, reasoning, and decision-making, to enhance self-driving technology at scale.
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
- 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. degree or a Master of Science (M.Sc.) 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, applied to 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 annually, depending on experience and qualifications
Annual performance bonus
Equity options
Competitive benefits package
Ready to Apply?
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