ML Research Scientist (Health & Sensing) Job at Eight Sleep (San Francisco)

Job Description

Join the Sleep Fitness Movement. At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. We are seeking someone who is passionate about health technologies and about making an impact on health outcomes. We look for people who tackle problems with a system approach, and make data driven decisions to deliver the best products to our users.

Job Responsibility

Advance the Pod’s adaptive thermoregulation system - the “autopilot” system that continuously learns and reacts to micro-events like restlessness or awakenings
Design policies that optimize comfort and sleep quality in real time through reinforcement learning and closed-loop control
Develop a multimodal health foundation model that integrates physiology and environmental context - learning from Pod signals, wearable sensors, and contextual data
Build a high-fidelity physiological simulator that models how daily behaviors ripple into tonight’s sleep and tomorrow’s readiness

Requirements

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 machine learning to health related problems and data
Experience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models
3+ years of practical experience applying ML to solve real-world problems or relevant quantitative and qualitative research and analytics experience
PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field with a notable publication record
or BS/MS with publications at top venues (e.g. NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ACL, EMNLP, INTERSPEECH)

What we offer

Equity participation
Periodic equity refreshments based on performance
Your own Pod

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ML Research Scientist (Health & Sensing)

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