Field of Talent · 3 weeks ago
Lead Machine Learning Scientist
Field of Talent is an early-stage medical device company focused on developing advanced physiologic monitoring technologies. They are seeking a Lead Machine Learning Scientist to spearhead the development of ML models for extracting clinically significant risk signals from multi-modal physiological data, with a direct impact on clinical decision-making in perioperative care.
ConsultingRecruitingStaffing Agency
Responsibilities
Design, build, and validate ML pipelines for multi-signal physiologic data modeling
Develop robust feature extraction methods for EEG, ECG, pulse oximetry (SpO₂), and motion signals
Train and evaluate models to estimate clinically relevant metrics such as arousal burden, hypoxic burden, arousal threshold, and airway instability
Collaborate closely with clinical domain experts (sleep medicine and anesthesia) to translate physiologic signals into operational risk signatures
Assess model performance, interpretability, and generalizability across patient populations
Prepare technical methods, results, and documentation for NIH deliverables, publications, and regulatory-facing materials
Qualification
Required
Hands-on experience modeling physiologic signals (EEG, ECG, PPG, SpO₂, motion)
Strong background in deep learning architectures (CNNs, LSTMs, Transformers)
Comfort owning ambiguous technical problems end-to-end
Preferred
MS or PhD in Machine Learning, AI, Biomedical Engineering, Computational Neuroscience
Bonus: experience in sleep medicine, anesthesia, or medical devices