Staff ML Research Scientist

Reposted 2 Days Ago
Be an Early Applicant
Mountain View, CA
In-Office
223K-334K
Senior level
Artificial Intelligence • Automotive • Information Technology • Robotics
The Role
Research and apply advanced machine learning techniques to solve autonomy system problems, providing leadership and deploying solutions in real-world environments.
Summary Generated by Built In

Who We Are 

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!

About the Work

  • 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

About You

You have deep expertise and prior experience in some or many of the following areas:

  • 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.)

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $235,030 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Top Skills

C++
Deep Learning
Machine Learning
Python
Robotics
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The Company
Mountain View, CA
908 Employees
Year Founded: 2016

What We Do

We're on a mission to better everyday life through robotics.

Our custom electric autonomous vehicles are designed to bring the things you need—from produce to prescriptions—right to your home. Nuro’s autonomous delivery can give you valuable time back and more freedom to do what you love. This convenient, eco-friendly, safe alternative to driving can make streets safer and cities more livable. Nuro has brought autonomous delivery to local communities in Texas, Arizona, and California—for less driving and more thriving.

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