Job Description
The role involves utilizing advanced machine learning techniques to enhance software for autonomous driving, focusing on planning and prediction systems to ensure safe vehicle trajectories. Candidates will collaborate across teams to develop practical solutions for real-world challenges in autonomous technology.
Key Responsibilities
- Work on scalable machine learning based planning and prediction systems for autonomous driving.
- Research generative sequence modeling and sequential decision making.
- Mitigate uncertainties accumulated through interconnected autonomy components.
- Collaborate across autonomy teams to develop holistic solutions to top autonomy challenges.
- Understand issues, propose ideas, prioritize work, and develop solutions.
- Derive practical solutions and deploy them on real-world vehicles.
Requirements
- You have an M.Sc. or Ph.D. preferable 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 finetuning, machine learning for robotics.
- You have strong problem solving and programming skills in Python required.
- Demonstrated research publications in top conferences e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA.
Benefits & Perks
Compensation/salary range: 167,200 to 250,800 per year
Annual performance bonus
Equity
Competitive benefits package
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