Eight Sleep is looking for research scientists with a passion for using AI & Machine Learning to transform sensor data into personalized intelligent health & fitness experiences. The goal is to unlock new meaningful metrics that will induce behavior change for better sleep and better health.
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)
- 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)
Responsibilities
- 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 - powered by one billion+ hours of sleep data at Eight Sleep.
- Build a high-fidelity physiological simulator that models how daily behaviors ripple into tonight’s sleep and tomorrow’s readiness.
- Create a non-invasive, always-on model of healthy aging powered by Pod biosignals and continuous physiological data.
- Prototype and ship solutions.
- Apply machine learning to health related problems and data.
Other
- Passion for using AI & Machine Learning to transform sensor data into personalized intelligent health & fitness experiences.
- Passionate about health technologies and about making an impact on health outcomes.
- Tackle problems with a system approach, and make data driven decisions to deliver the best products to our users.
- Operate with intensity, focused, relentless, and always pushing to be in the top 1% of our craft.
- Deeply committed, often putting in 60+ hours a week.
