About the job
In this role, you will work closely with the autonomy teams to solve nominal and long tail perception, prediction, and planning problems through novel and advanced machine learning methods, including foundation models, multi-modal LLMs, generative models, out-of-distribution detection, imitation learning, and reinforcement learning. If you love solving challenging problems and deploying those solutions into the real world, come join us!
Responsibilities
Apply and research novel and advanced machine-learning techniques
Solve perception, prediction, and planning problems in a state-of-the-art autonomy system
Build and leverage effective and efficient ML data pipelines
Provide technical and people leadership to a large team
Production and deploy autonomous software to public roads
Qualifications
Minimum
You 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
You have deep subject matter expertise and research in the following areas: Machine Learning, Deep Learning, Robotics
You have strong problem solving and programming skills in C++ or Python
Strong culture fit and good team player
Demonstrated research publications in any of the major conferences (RSS, ICRA, CoRL, CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, etc.)
Preferred
No preferred qualifications listed.