Staff Machine Learning Engineer — Autonomy & Planning

Nuro; Mountain View (WY); On-site; USD 235,000 - 352,000; Full time

Job summary

Nuro is seeking a Staff Machine Learning Engineer to lead the Behavior & Planning team, driving ML initiatives across the autonomy stack from research to deployment on real vehicles.

You will work on foundation/world models, LLM/VLM reasoning, reinforcement/imitation learning, diffusion models, and transformer-based planning, expanding across geographies and platforms including robotaxi and delivery.

Qualifications

• 7+ years building and deploying machine learning systems; experience leading multi‑team initiatives.
• MS/PhD in Computer Science, AI, ML, Robotics or equivalent experience.
• Strong ML foundations; understanding from data to deployment, and state-of-the-art techniques.

Responsibilities

• Lead ML initiatives across the autonomy stack, framing ambiguous problems and driving them from idea to on-road deployment.
• Design, train, and productionize state-of-the-art models across foundation/world models, LLM/VLM, RL/IL, generative and diffusion models, and transformer-based planning.
• Build models that generalize to new cities/geographies and adapt to new vehicle platforms (robotaxi, personal, delivery).
• Collaborate cross-functionally with Perception, Simulation & Evaluation, ML Infra & Data, and broader Autonomy/Research orgs.
• Own the full model lifecycle: data, training, onboard inference, evaluation, and on-road iteration.
• Mentor engineers and researchers; influence roadmap and technical strategy.

Skills

Python

C++

Leadership

Communication

Problem-solving

Education

MS/PhD in CS/AI/ML/Robotics or related field

Tools

PyTorch

JAX

TensorFlow

Job description

Nuro is seeking a Staff Machine Learning Engineer to lead the Behavior & Planning team, driving ML initiatives across the autonomy stack from research to deployment on real vehicles.

You will work on foundation/world models, LLM/VLM reasoning, reinforcement/imitation learning, diffusion models, and transformer-based planning, expanding across geographies and platforms including robotaxi and delivery.