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.
214k – 290k/yr
Hybrid5+ YOEML Engineering
About the role
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
Skills
PythonPyTorchCUDATensorRTSparse-Bev Joint Detection And TrackingMachine Learning PipelinesDataset CreationModel OptimizationProbabilistic TechniquesTracking Systems
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