Job Description
The role involves developing advanced machine learning techniques to improve autonomous driving systems, focusing on planning, prediction, and robustness, with the goal of deploying practical solutions on real 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 ideas, prioritize work, and develop practical solutions for real-world vehicle deployment.
Requirements
- Possess an M.Sc. or Ph.D. degree, preferably focusing on Computer Science, Artificial Intelligence, Mathematics, or a closely related field.
- Have subject matter expertise and research experience 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.
- Have strong problem solving and programming skills in Python.
- Have demonstrated research publications in top conferences such as NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, or ICRA.
Benefits & Perks
Compensation/salary range: $160,360 to $240,540 per year
Work schedule: Not specified
Work environment perks: Annual performance bonus, equity, competitive benefits package
Additional benefits: Inclusive and diverse workplace, psychological safety
Ready to Apply?
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