Hiring: Machine Learning Researcher Company: D24 Search Location: San Francisco, CA Job Posted Time: 2026-09-03 10:13:06 Employment Type: Hybrid Target Skills & Keywords : Computer Vision, Deep Learning, PyTorch, Python, R, TensorFlow About the job Experience: •3 - 10 years of experience in applied ML on physiological or motion sensor data, using Python •10 years of experience in applied ML on physiological or motion sensor data, using Python •10+ years in wearables. For this pool that beats the brand. Qualifications: •Has trained ML models on raw physiological signals measured off a human body. •PPG, ECG, EEG, respiration, temperature, body- worn IMU. Research or industry both count. •Python and a deep learning framework, used to train models •Rather than call APIs. PyTorch or TensorFlow. •Signal processing depth on high- frequency time series: filtering, feature extraction, artifact rejection on raw sensor output. •Large- scale physiological modeling with transfer learning or self- supervised pretraining. •Graduate degree in biomedical engineering, bioengineering, physiology, or electrical engineering, on top of ML depth. •Why This Role Stands Out •A sensing modality that doesn't exist yet: next-generation consumer health hardware, a new modality beyond sleep, built 0 to 1. Not tuning an existing pipeline. •Named projects: a multimodal health foundation model, a closed-loop RL thermoregulation system, and a physiological simulator for healthy aging. The sensing people you'd want are already there. The VP of R&D ran health monitoring devices at Verily and led Alphabet's first FDA-cleared wearable. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!