The opportunity
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…
What you'll do
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.
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.
What they're looking for
- 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.
