• Recent experience in state-of-the-art deep learning models for computer vision tasks on camera, lidar, radar
• Strong ML fundamentals and has demonstrated experience building and expanding model architectures
• Strong SWE fundamentals and has demonstrated SWE experience in both high and low-level languages (Python and C++)
• Strong research capabilities, track record of publishing papers at top conferences on relevant topics

Desirable

• Our team is growing and we are looking for machine learning R&D experts to join us
• We apply machine learning to solve challenging perception problems, e.g. object detection, semantic segmentation, instance segmentation, dense depth, optical flow, tracking
• In this role, you will work on developing novel machine learning models, robust and scalable data pipelines, and deploy the models on our self driving vehicles
• You will develop novel machine learning methods and algorithms that solve complex problems, including but not limited to, object detection, semantic segmentation, instance segmentation, depth estimation, optical flow, etc
• Develop scalable and robust data pipelines that are able to process petabytes of data for model training, and deploy models in production
• Work fast and smart, and collaborate well with other awesome team members to deliver high-quality perception solutions that power the next generation of mobile robots