Lead ML Research Scientist
Nuro AI
On-site
Mountain View, CA, United States
Full-time
$258,080 -
$387,370
About Nuro AI
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.
About the Role
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!
Qualifications
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.).
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.).
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.
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.

