Senior/Staff Engineer, Machine Learning - Online Mapping

The Robot Age; Mountain View (CA); On-site; USD 240,000 - 320,000; Full time

Job summary

Nuro is seeking a senior or staff ML engineer for its Online Mapping team. The role focuses on onboard mapping models, data and label management, training pipelines, and evaluation loops for autonomous navigation.

This production-focused position emphasizes hands-on work in robotics, mapping, 3D geometry, and ML tradeoffs, with ownership of end-to-end model evaluation and deployment.

Qualifications

• Production ML in robotics, AVs, mapping, CV, or adjacent areas.
• Strong ML fundamentals and practical model evaluation judgment.
• Python and deep learning framework experience.
• Familiarity with 3D geometry, state estimation, ML pipelines, or robotics research is a plus.

Responsibilities

• Research and implement online mapping models and algorithms.
• Analyze mapping system performance and identify data, model, or evaluation gaps.
• Integrate mapping models into autonomy architectures.
• Collaborate with autonomy, infrastructure, and systems teams on mapping requirements.

Skills

Production ML

Python

Deep learning

3D geometry

State estimation

ML pipelines

Job description

What the role actually is

Nuro is hiring a senior or staff ML engineer for its Online Mapping team. The work centers on onboard mapping models, data and label management, training pipelines, and the evaluation loops that decide whether mapping changes improve real robot navigation.

This is a research-to-production autonomy role rather than a generic ML platform job. The posting calls for hands-on experience with robotics, mapping, computer vision, 3D geometry, and production ML tradeoffs.

What you would work on

• Research and implement online mapping models and algorithms
• Analyze mapping system performance and find data, model, or evaluation gaps
• Integrate mapping models into larger autonomy architectures
• Work with autonomy, infrastructure, and systems teams on mapping requirements

What they are asking for

• Experience solving production ML problems in robotics, AVs, mapping, computer vision, or adjacent areas
• Strong ML fundamentals and practical model evaluation judgment
• Python and deep learning framework experience
• Familiarity with 3D geometry, state estimation, ML pipelines, or robotics research is a plus

Why this one is worth a look

Online mapping is one of the quiet pieces that decides whether autonomous systems behave confidently outside curated demos. This role is useful for someone who wants applied robot learning work where the model has to survive sensor noise, changing streets, and operational constraints.