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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