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