Job Description

Your mission

  • Design and maintain high-throughput, scalable pipelines to ingest and organize large volumes of time-series camera and sensor data (RGB, IR, thermal, acoustic, depth, IMU).
  • Own, curate, and continuously improve computer vision datasets for object detection and classification, ensuring high-quality, diverse, and statistically representative data.
  • Build and operate active learning loops to prioritize high-value samples and accelerate dataset improvements.
  • Write robust preprocessing and transformation pipelines using Python, NumPy, Pandas, and Albumentations for large-scale computer vision workloads.
  • Manage labeling workflows, including automation, QA validation, annotation consistency checks, and dataset versioning.
  • Collaborate with ML Engineers to fine-tune, train, and evaluate detection models, feeding insights back into data generation and selection.
  • Analyze model weaknesses, blind spots, bias, and drift t...

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