About The Position
The Object Detection and Tracking team at Zoox deals with the perception of all people and objects that can move. Your role is to work on the ML model team to develop detection and tracking models and to integrate them into the vehicle stack. In this role, you will have access to the world's best sensor data and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for detection, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.
Requirements
- BS or higher in Computer Science or a related degree
- Familiarity with modern, Sparse-BEV Joint Detection and Tracking models.
- Hands-on experience with production ML pipelines, including dataset creation, metrics, and optimization
- Experience in Python, PyTorch, or a related ML framework
Nice To Haves
- Experience with CUDA code and/or TensorRT
- Strong mathematical skills and understanding of probabilistic techniques
- Experience implementing tracking systems
Responsibilities
- Define on-vehicle architecture for producing the core tracking results from the Perception stack.
- Assist with the implementation of core tracking results from the Perception stack
- Work with both the model and data teams to develop a high-performance, efficient model that can run on a vehicle.
- Work with Perception data, both on the input and output of machine learning models
Benefits
- Amazon Restricted Stock Units (RSUs)
- Zoox Stock Appreciation Rights
- Sign-on bonus may be offered
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What This Job Offers
Job Type
Full-time
Career Level
Senior
