Senior/Staff Engineer, Machine Learning - Online Mapping

Nuro • Mountain View, CA

2d • $183,825 - $333,925

About The Position

Building robust ML and/or mapping systems that work with real data (cameras, LiDAR, etc.) in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation.

Requirements

• 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.

Nice To Haves

• Proficiency in working with complex multi-component systems.
• Experience in building ML pipelines and optimizing/productizing ML models.
• Familiarity with modern ML tools and infrastructure such as distributed training and ML compilers.
• Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA).
• Deep understanding of 3D geometry and state estimation fundamentals.

Responsibilities

• 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.

Benefits

• At Nuro, your base pay is one part of your total compensation package.
• This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees