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.

ABOUT THE ROLE

The mandate of the learned behavior team is to use advanced machine learning

techniques to accelerate software progress.

In this role, you will

work closely
with the software vertical teams to understand their pain points and explore
novel and advanced machine learning methods to solve practical real-world
challenging problems. To name a few, using self-supervised learning to learn
robust representations, exploring techniques for out-of-distribution detection
to solve long tail problems, adjusting reinforcement learning techniques for
motion planning, working on trajectory prediction and motion planning,
investigating the robustness of models to mitigate uncertainties, or trying to
build an end-to-end driving system. If you love solving challenging new problems
with a mindset of deriving practical solutions to eventually be used on the
vehicle, come join us!
ABOUT THE WORK
* Work on scalable machine learning based planning and prediction systems to
generate safe and feasible trajectories for autonomous driving.
* Research generative sequence modeling and sequential decision making.
Research backgrounds we are looking for but not limited to are:
* Nice to have: Embodied AI for robotics, Causal reasoning, Model
interpretability and explainability, Joint prediction and planning.
* Mitigate uncertainties accumulated through interconnected autonomy
components.
* Collaborate across autonomy teams while developing holistic solutions to top
autonomy challenges. Understand issues, propose ideas, prioritize work and
develop solutions to solve them.
* Derive practical solutions and deploy them on real-world vehicles.
ABOUT YOU
You have deep expertise and prior experience in some or many of the following
areas:
* You have an M.Sc. or Ph.D. (preferable) focusing on one or more of the
following areas: Computer Science, Artificial Intelligence, Mathematics, or a
closely related field
* You have subject matter expertise and research in one or more of the
following areas: sequential decision making, Imitation Learning, Deep
Reinforcement Learning, generative modeling, large models
(pretraining/finetuning), machine learning for robotics.
* You have strong problem solving and programming skills in Python (required)
and C++ (beneficial)
* Strong culture fit and good team player
* Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR,
ICML, CVPR, RSS, CoRL, ICRA)
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.
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.

Which skills does this role require?

Behavior PlanningPrediction SystemsDeep Reinforcement LearningC++Model InterpretabilityTrajectory PredictionMotion PlanningAutonomous DrivingSelf-Supervised LearningOut-Of-Distribution DetectionDeep LearningSoftware Development

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