Senior/Staff Engineer, Machine Learning - Online Mapping

• Research, develop, and implement state-of-the-art online mapping models and algorithms.
• Analyze and characterize the performance of the online mapping system, identifying opportunities for architecture, data or evaluation improvements in a E2E ML system.
• Work cross functionally with other ML teams to integrate our models into centralized architectures.
• Collaborate with stakeholders across autonomy, infrastructure, and systems teams on online mapping needs and requirements.

This role contributes to building robust ML and mapping systems for robot navigation, supporting Nuro's mission to make autonomy accessible to all and empower a safer, richer, and more connected future through self-driving technology.

• Proven record of solving in-production ML problems and making tradeoffs between data, model and evaluation.
• Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models with applications in AV, robotics, mapping, computer vision, or related areas.
• Prioritize impact and practicality, and make decisions to ensure on-time delivery of solutions.
• Able to quickly iterate and experiment to cut through the noise and make well-informed, data-driven decisions.
• Experience with robotics-related ML applications, 3D geometry.
• Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax.

Base pay range: $183,825 - $333,925, annual performance bonus, equity, competitive benefits package, diverse and inclusive workplace with psychological safety for all employees.

Nuro is a self-driving technology company on a mission to make autonomy accessible to all, building the world's most scalable driver by combining cutting-edge AI with automotive-grade hardware to license its core technology for applications like robotaxis and commercial fleets.