Key skills
PythonC++CMachine LearningDeep Learning
About this role
Role Overview
- Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context
- Understand and curate real and synthetic datasets to improve our models
- Perform latency optimization and deploy models to our robot fleet
- Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work
- Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex driving scenario
Requirements
- MS or PhD in Computer Science, Machine Learning, or related technical field with 5+ years of industry experience
- Proficiency in Python and some knowledge in C++
- Deep Learning expertise
- Experience developing multi-sensor fusion algorithms for object detection, panoptic segmentation or object tracking
- Familiar with Transformer architecture
- Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA) (Bonus)
- Experience with autonomous robotics systems (Bonus)
- Experience implementing 3D Gaussian Splatting (Bonus)
Tech Stack
- Python
Benefits
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
- Paid time off (e.g. sick leave, vacation, bereavement)
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs