Nuro, Inc.
Leader in Machine Learning
Nuro, Inc., Mountain View, California, us, 94039
Who We Are
Nuro exists to better everyday life through robotics. Founded in 2016, Nuro is a leading autonomous technology company with vehicles on road today in California and Texas. The company’s core technology is the Nuro Driver, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and custom-built sense and compute hardware. The first commercial application of the Nuro Driver is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.
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 $222,775 and $367,175 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.
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Nuro exists to better everyday life through robotics. Founded in 2016, Nuro is a leading autonomous technology company with vehicles on road today in California and Texas. The company’s core technology is the Nuro Driver, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and custom-built sense and compute hardware. The first commercial application of the Nuro Driver is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.
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 $222,775 and $367,175 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.
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