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Data Scientist, Machine Learning

Джерело:
djinni.co
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Що робити

  • Build and own ML models for fall detection on the Rx360 band, using IMU, barometer and PPG signals, with high sensitivity and very few false alarms
  • Develop fall-risk and fall-prevention models that spot changes in gait, activity, sleep and heart rate over days and weeks, so supporters can act before a fall happens
  • Build our datasets from real-world wear by older adults, including data collection, labeling and ground-truth processes with pilot and clinical partners
  • Design validation plans and success metrics, such as sensitivity, false alarms per wearer-day and time to alert, and run validation studies in pilots
  • Work with firmware engineers to run models on the band within tight memory, compute and battery limits, through feature design, model compression and quantization

Що пропонуємо

  • Background in digital health, wearables or connected medical devices, including clinical validation studies
  • Experience with on-device ML tools such as TensorFlow Lite for Microcontrollers or Edge Impulse
  • Familiarity with health data privacy and regulatory requirements (GDPR, HIPAA, FDA or MDR)
  • Startup experience through early launches
  • How to Apply

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