autonomous-teaming
80807 Munich, Germany
Your mission
Design and maintain scalable pipelines to ingest and organize large volumes of time-series camera and sensor data (RGB, IR, acoustic, depth, IMU, and other modalities).
Own and improve datasets for object detection and classification tasks, ensuring statistical robustness, diversity, and representativeness.
Build and operate active learning loops to select high-value samples, reduce annotation cost, and continuously improve model performance.
Write robust preprocessing pipelines using Python, NumPy, Pandas, and augmentation libraries like Albumentations.
Manage labeling workflows, including QA rules, label consistency checks, vendor coordination, and dataset versioning.
Collaborate with ML Engineers to fine-tune, train, and evaluate object detection models and feed insights back into the data pipeline.
Analyze model weaknesses, uncover blind spots, and drive dataset improvements through statistical diagnostics and drift/bias detection.
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