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Nuro

engineering opportunity

Senior/Staff Machine Learning Research Scientist: Generative Modeling for Planning

Develop and scale state-of-the-art generative models for autonomous plan generation. Collaborate with autonomy teams to create holistic solutions for top autonomy challenges.

Mountain View, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Nuro?

Who We Are

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.

In this role, you will

  • collaborate closely with researchers and engineers on the
  • Learned Behavior teams to tackle plan generation challenges in autonomous
  • driving. You’ll apply state-of-the-art generative modeling techniques—ranging
  • from cutting-edge diffusion, flow matching, energy-based models, and SoTA
  • algorithms—in order to develop novel solutions that generate safe, comfortable,
  • and efficient driving behaviors in the most challenging real world situations.
  • 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.
  • About the Work
  • * 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.
  • * Optimize generative models using reinforcement learning to improve
  • interactive reasoning. Explore reward modeling/learned verifier using
  • generative models. Explore joint prediction and planning and self-play.
  • Leverage generative models for active learning and world modeling.
  • * Develop controllable generative models to guide the generation process
  • towards desired goals, conditions and rewards.
  • * Collaborate across autonomy teams while developing holistic solutions to top
  • autonomy challenges. Understand issues, propose ideas, prioritize work and
  • develop solutions to solve them, evaluate your solution by deploying the
  • models on to the NuroDriver.
  • About You
  • 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.
  • * Research experiences in generative models, particularly diffusion models,
  • flow matching and energy-based models, for robotics, including manipulation,
  • path planning, and autonomous driving. Experiences in vision-language-action
  • models, reinforcement learning for generative model optimization, video
  • generation, text-to-image generation, diffusion models for LLMs, world
  • foundation models, and other applications of generative modeling are a bonus!
  • * You have strong problem solving and programming skills in Python and/or C++
  • * Strong culture fit and good team player.
  • Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML,
  • CVPR, RSS, CoRL etc.)
  • 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. 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.

Which skills does this role require?

Generative ModelsDiffusion ModelsFlow MatchingEnergy-Based ModelsReinforcement LearningC++Team CollaborationAutonomous DrivingPlan GenerationMachine LearningAIRoboticsDecision MakingGenerative ModelingMulti-Modality GenerationActive LearningWorld ModelingControllable Generative ModelsFoundation ModelsVision-Language-Action ModelsVideo GenerationText-to-Image GenerationSelf-PlayReward ModelingLearned VerifierJoint PredictionPath PlanningManipulationComfortLLMs

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