Senior ML Research Scientist, Perception Foundation Encoder
About The Position
As part of Nuro's Perception team, you will help define the Perception architecture of Nuro Driver for years to come. The Perception Foundation Encoder is the very first stage of processing in our stack, and it's responsible for compressing raw sensor data (cameras, lidar, radar, and audio) into a unified feature representation. You'll be part of the team that develops the training techniques for obtaining such a foundational encoder. Your work directly impacts a large number of critical functionalities — object detection and tracking, online mapping, unusual scene understanding, and learned behavior. You will apply your deep understanding and experience in state-of-the-art machine learning to achieve a fine balance between model performance, onboard latency, and maintenance complexity.
Requirements
- Ph.D. level research experience in some of the following areas: multi-modal models, large multi-task vision models, large scale model training, and model distillation.
- 3+ years working deeply on an ML project with material contributions.
- Strong SWE fundamentals and has demonstrated SWE experience in both high and low-level languages (Python and C++)
- Publications at some of the major conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, CoRL, RSS, ICRA).
- Experience communicating clearly on complex technical topics across a range of stakeholders and leadership.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees
