Job Description
The role involves researching and developing advanced generative models, particularly diffusion models, to address complex challenges in autonomous driving. The candidate will collaborate with various teams to create scalable solutions for predicting and simulating the behaviors of autonomous vehicles and other road agents.
Key Responsibilities
- Research and develop scalable generative models with a focus on diffusion models for behavior modeling.
- Learn and analyze the distribution of future behaviors of autonomous vehicles and on-road agents.
- Apply generative models to tasks such as planning, prediction, data generation, and simulation.
- Research state-of-the-art algorithms to enhance generative model performance and optimize latency.
- Collaborate with autonomy teams to develop holistic solutions for autonomy challenges.
- Propose ideas, prioritize work, and develop practical solutions to identified issues.
- Deploy developed solutions on the NuroBot.
Requirements
- Ph.D. preferable or M.Sc. with 3 years experience on generative models.
- Deep expertise and prior experience in scalable generative and diffusion models, generative model alignment with reward cost models, controllability, distillation, mode recovery, fine-tuning with closed-loop RL, applications to autonomous driving and robotics.
- 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, ICRA.
Benefits & Perks
Compensation/salary range: 138,225 to 207,575
Annual performance bonus
Equity
Competitive benefits package
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