Job Description
The role involves developing and deploying advanced machine learning techniques to solve perception, prediction, and planning challenges in autonomous driving systems, working closely with autonomy teams to improve self-driving technology for real-world applications.
Key Responsibilities
- Solve perception, prediction, and planning problems in autonomous systems using advanced machine learning techniques
- Develop and leverage efficient ML data pipelines
- Research and apply novel machine learning methods such as foundation models, multi-modal LLMs, generative models, out-of-distribution detection, imitation learning, and reinforcement learning
- Build and deploy autonomous software for public road operation
- Provide technical and people leadership to a large team
Requirements
- Have 6 years of work experience with an M.Sc. or Ph.D. focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
- Have deep subject matter expertise and research in Machine Learning, Deep Learning, or Robotics
- Possess strong problem solving and programming skills in C or Python
- Demonstrate deep expertise and prior experience in solving perception, prediction, and planning problems in autonomous systems using advanced machine learning techniques such as foundation models, multi-modal LLMs, generative models, out-of-distribution detection, imitation learning, and reinforcement learning
- Build and leverage effective and efficient machine learning data pipelines
- Provide technical and people leadership to a large team
- Have experience in deploying autonomous software to public roads
- Have research publications in major conferences such as RSS, ICRA, CoRL, CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, or similar
Benefits & Perks
Compensation/salary range between $235,030 and $352,290 depending on experience and qualifications
Annual performance bonus
Equity options
Competitive benefits package
Ready to Apply?
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