Eight Sleep
Machine Learning Research Scientist (Health & Sensing)
Eight Sleep, San Francisco, California, United States, 94199
Overview
Machine Learning Research Scientist (Health & Sensing) at Eight Sleep. We are seeking researchers passionate about using AI & ML to transform sensor data into personalized intelligent health & fitness experiences. The role involves working with heart rate, heart rate variability, sleep, and other metrics to drive data-driven health outcomes, in collaboration with a cross-functional R&D and production team. Responsibilities
Work on projects such as: Autopilot Thermoregulation: Advance the Pod’s adaptive thermoregulation system, designing policies that optimize comfort and sleep quality in real time through reinforcement learning and closed-loop control. Health Foundation Modeling: Develop a multimodal health foundation model integrating physiology and environmental context using Pod signals, wearable sensors, and contextual data, leveraging large-scale sleep data. Develop behavioral simulations: Build a high-fidelity physiological simulator that models how daily behaviors affect sleep and readiness, creating an always-on model of healthy aging from Pod biosignals and continuous physiological data. What You'll Need To Succeed
Expertise in at least one area of machine learning and artificial intelligence (e.g., self-supervised learning, multi-modal ML, model optimization, NLP, LLM) Strong interest in applying ML to health-related problems and data Experience programming (Python, C/C++ or similar) to manipulate data, extract insights, and train ML models 3+ years of practical ML experience solving real-world problems or relevant quantitative/qualitative research and analytics experience PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field with publications; or BS/MS with publications at top venues (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ACL, EMNLP, INTERSPEECH) Why join Eight Sleep?
Innovation in a culture of excellence: Pod-driven sleep innovation and a fast-paced, high-impact environment Immediate responsibility and accelerated career growth: ownership from day one in a small, mission-driven team Collaboration with exceptional talent: work alongside engineers and researchers dedicated to breakthroughs Equitable compensation and continuous equity investment: equity participation with performance-based refreshes Perks and benefits: Pod for every employee and additional benefits; Eight Sleep is an equal opportunity employer Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries: Consumer Electronics
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Machine Learning Research Scientist (Health & Sensing) at Eight Sleep. We are seeking researchers passionate about using AI & ML to transform sensor data into personalized intelligent health & fitness experiences. The role involves working with heart rate, heart rate variability, sleep, and other metrics to drive data-driven health outcomes, in collaboration with a cross-functional R&D and production team. Responsibilities
Work on projects such as: Autopilot Thermoregulation: Advance the Pod’s adaptive thermoregulation system, designing policies that optimize comfort and sleep quality in real time through reinforcement learning and closed-loop control. Health Foundation Modeling: Develop a multimodal health foundation model integrating physiology and environmental context using Pod signals, wearable sensors, and contextual data, leveraging large-scale sleep data. Develop behavioral simulations: Build a high-fidelity physiological simulator that models how daily behaviors affect sleep and readiness, creating an always-on model of healthy aging from Pod biosignals and continuous physiological data. What You'll Need To Succeed
Expertise in at least one area of machine learning and artificial intelligence (e.g., self-supervised learning, multi-modal ML, model optimization, NLP, LLM) Strong interest in applying ML to health-related problems and data Experience programming (Python, C/C++ or similar) to manipulate data, extract insights, and train ML models 3+ years of practical ML experience solving real-world problems or relevant quantitative/qualitative research and analytics experience PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field with publications; or BS/MS with publications at top venues (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ACL, EMNLP, INTERSPEECH) Why join Eight Sleep?
Innovation in a culture of excellence: Pod-driven sleep innovation and a fast-paced, high-impact environment Immediate responsibility and accelerated career growth: ownership from day one in a small, mission-driven team Collaboration with exceptional talent: work alongside engineers and researchers dedicated to breakthroughs Equitable compensation and continuous equity investment: equity participation with performance-based refreshes Perks and benefits: Pod for every employee and additional benefits; Eight Sleep is an equal opportunity employer Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries: Consumer Electronics
#J-18808-Ljbffr