Job Description
This 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
- Research and apply advanced machine learning techniques to perception, prediction, and planning problems in autonomous systems
- Build and utilize efficient machine learning data pipelines
- Develop and deploy autonomous software solutions for public road operation
- Provide technical and team leadership within the autonomy team
Requirements
- Have 6 years of work experience with an M.Sc. or Ph.D. focusing on 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 methods such as foundation models, multi-modal LLMs, generative models, out-of-distribution detection, imitation learning, and reinforcement learning.
- Have experience applying and researching novel and advanced machine-learning techniques.
- Build and leverage effective and efficient ML 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 $258,080 and $387,370
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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