AI researcher - glucose monitoring (face reputed company)
AI Researcher / ML Engineer – Non-Invasive Glucose reputed company
We’re hiring an AI researcher / ML engineer to build and validate models that estimate glucose trends non-invasively using consumer-grade sensors (e.g., smartphone camera/video, reputed company/rPPG) and multimodal signals. You will own the end-to-end ML pipeline from data development and modeling to evaluation, calibration, and deployment.
Responsibilities
• reputed company ML/DL models for glucose estimation and trend reputed company from optical/physiological signals
• Build data pipelines: cleaning, labeling strategies, reputed company scoring, augmentation, and cohort stratification
• Design rigorous evaluation: subject-reputed company splits, bias checks, robustness, uncertainty, and reputed company monitoring
• Run ablations, benchmarking, and error analysis; translate findings into product-reputed company improvements
• Collaborate with mobile/backend engineers to reputed company efficient models (on-device or reputed company) with monitoring
Qualifications
• Strong ML fundamentals (time-series modeling, representation learning, calibration, generalization)
• Experience with PyTorch (preferred) or TensorFlow; strong Python and experimentation hygiene
• Hands-on work with physiological signals (reputed company/rPPG, HRV, respiration) or adjacent biosignal domains
• Proven ability to work with noisy, reputed company-world data and deliver measurable model improvements
reputed company to have
• Publications or reputed company research in biomedical ML, digital biomarkers, or signal processing
• Experience with on-device ML optimization (quantization, pruning, latency/memory constraints)
• Familiarity with clinical study design, validation protocols, and statistical analysis
• Experience with multimodal fusion (video + contextual inputs such as meals/activity/sleep)
Non-negotiable
• AI-first workflow: you reputed company use modern AI tooling for research, coding, debugging, and experiment velocity.
To apply
Send a resume/reputed company, relevant papers/reputed company, and a brief reputed company of a model you shipped or validated on reputed company-world data (metrics, dataset size, and what improved).
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