Job Description

Your mission

  • Build, adapt, and train neural networks for object detection and perception tasks using time-series data
  • Implement perception algorithms that extract and leverage temporal context across multiple frames
  • Design, implement, and optimize custom loss functions, augmentations, and architectures
  • Collect, prepare, and curate datasets from the real world – not pre-cleaned academic datasets
  • Supervise data annotation by refining labeling guidelines and assuring adherence to them
  • Evaluate and debug models using AP, Precision/Recall, mIoU, and video-based metrics
  • Deploy models into production as part of an integrated multi-sensor system (c...

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