Job Description
The role involves developing and applying advanced machine learning techniques to improve autonomous driving systems, focusing on planning, prediction, and robustness to create safe and reliable self-driving vehicles.
Key Responsibilities
- Develop scalable machine learning-based planning and prediction systems for autonomous driving.
- Research generative sequence modeling and sequential decision-making techniques.
- Collaborate with autonomy teams to develop holistic solutions to autonomy challenges.
- Propose, prioritize, and develop practical solutions for real-world vehicle deployment.
Requirements
- You have an M.Sc. or Ph.D. preferably focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field.
- You have subject matter expertise and research in one or more of the following areas: sequential decision making, Imitation Learning, Deep Reinforcement Learning, generative modeling, large models pretraining and finetuning, machine learning for robotics.
- You have strong problem solving and programming skills in Python required and C beneficial.
- You have demonstrated research publications in top conferences such as NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA.
- You are capable of deriving practical solutions and deploying them on real-world vehicles.
Benefits & Perks
Compensation/salary range: $160,360 to $240,540 per year
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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