Nuro
Senior/Staff Machine Learning Research Scientist: Generative Modeling for Planning
Mountain View, California (HQ) · Staff+
Sponsorship not specifiedDetected 7 days ago
PythonC++AlgorithmsMachine LearningLLMsLogisticsRoboticsResearchProblem Solving
About the role
- Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation.
- Explore reward modeling/learned verifier using generative models.
- Explore joint prediction and planning and self-play.
Responsibilities
- Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world.
- Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides.
- In this role, you will collaborate closely with researchers and engineers on the Learned Behavior teams to tackle plan generation challenges in autonomous driving.
- Beyond core research, you'll own the end-to-end lifecycle of your models, productizing them for robust, real-world autonomous driving deployments on a global scale.
- Develop and scale state-of-the-art generative models-especially diffusion architectures, flow-matching techniques, and energy-based models -for autonomous plan generation.
- Build generative models with foundation models. Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation.
- Develop controllable generative models to guide the generation process towards desired goals, conditions and rewards.
Requirements
- You have deep expertise and prior experience in some or many of the following areas:
- You have a Ph.D. (preferable) or M.Sc. with 3+ years of experience working with generative models in the lab, in industry, or both.
- You have strong problem solving and programming skills in Python and/or C++
Skills
- Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills.
Compensation
- At Nuro, your base pay is one part of your total compensation package.
- For this position, the reasonably expected pay range is between $193,930 and $352,290/year for the level at which this job has been scoped.
- In the event that you are considered for a different level, a higher or lower pay range would apply.
Benefits
- This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
Company info
- Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides.
- Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
- With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
- Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.
- Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets.
- Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
- Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T.
- Rowe Price, and other leading investors.
This listing is sourced directly from Nuro's careers page and normalized into a canonical job model.