Senior Machine Learning Engineer - Perception Detection and Tracking
Develop and integrate ML detection and tracking models for autonomous vehicle perception using production pipelines and vehicle sensor data. Requires Python/PyTorch experience and familiarity with modern detection/tracking architectures.
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
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
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