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Machine Learning Research Scientist: Generative Modeling for Planning
- Mountain View, California, United States
- Mountain View, California, United States
À propos
About the team The behavior and maneuver planning team is responsible for the development of complex components such as probabilistic routing and the high‑level motion planner combining machine learning and classic robotics approaches. It also drives special, interactive maneuvers that go beyond single lane driving (such as lane changes, pullover and pullouts, parking lots).
About the Work
Research and Implement state of the art algorithms for Behavior Planning and Motion Planning and deploy on Nuro’s fleet of delivery robots
Solve the hardest and most exciting open‑world robotics problems and drive our generic and scalable Machine Learning First stack.
Work daily with a team of excellent engineers on challenging topics such as:
Planning under uncertainty and joint planning and prediction
Combine ML‑based and traditional/model‑based approaches
Take responsibility for the core behavior planning stack by implementing general improvements around latency, decision making, software architecture and ultimately on road performance
Collaborate closely with engineers across prediction, perception, machine learning, mapping and localization, autonomy systems, and infrastructure
Provide technical guidance and mentorship for junior members of the behavior planning team
Write robust, production‑ready software to make our vehicle safe and predictable in complex driving scenarios
About You
PhD in Robotics, Computer Science, mechanical/aerospace engineering, electrical engineering, with 2+ years of relevant industry experience or M.S. with 4+ years of relevant industry experience
Strong Software Development Skills in C++ (Python is a plus) and Experience with Test Driven Development
Proven track‑record in designing and implementing Motion Planning Systems and Architectures for autonomous robots
Proven ability to collaborate within and across teams and derive best solutions from cross‑functional interactions
Desire to work at the edge of Research and Development, bringing algorithms from research into production
Hands‑on experience in one of these areas- Search, Monte Carlo Tree Search (MCTS), Reinforcement Learning, Machine Learning for Planning and/or Prediction, Sampling Based Planning, Markov Decision Process (MDP), Experience in Joint Planning and Prediction
Must Haves
Software Development Skills in C++
Basic understanding of Robotics Systems, different approaches in the area of Motion/Behavior Planning
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $167,200 and $250,800 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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Compétences linguistiques
- English
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