Machine Learning Research Scientist: Generative Modeling for Planning

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.

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 2-3 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 $160,360 and $240,540/

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.