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Mid LevelFull-timePythonC++Machine Learning
Salary Range
$189,000 - $258,000 /year
About the Role
We are looking for a Deep Learning Engineer to join the Perception team at Zoox. This role involves developing and deploying multi-sensor fusion based deep learning models to understand obstacles and environmental context for autonomous vehicles.
Key Responsibilities
- →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 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 scenarios
Requirements
- ✓5 years of industry experience or more
- ✓Proficiency in Python and some knowledge in C++
- ✓Deep Learning expertise, preferably with panoptic segmentation experience
- ✓Experience developing multi-sensor fusion algorithms for object detection, panoptic segmentation or object tracking
- ✓Familiar with Transformer architecture
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