About the Work
- 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.
About You
- 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.
Bonus Points
- 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.
Compensation
Base pay range: $183,825 - $333,925. Eligible for annual performance bonus, equity, and competitive benefits package.