ML Research Scientist (Health & Sensing)

Eight Sleep
San Francisco
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: phdSkills: ["Communication","Collaboration","Problem-solving","Teamwork","Analytical thinking"]

Develop and apply machine learning methods to health-related sensor data. Collaborate with an cross-functional R&D team to prototype ML-powered health and sensing solutions, including adaptive thermoregulation, multimodal health models, and simulations, to improve sleep and health outcomes.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Eight Sleep
Eight Sleep
10 months ago

ML Research Scientist (Health & Sensing)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Develop and apply machine learning methods to health-related sensor data. Collaborate with an cross-functional R&D team to prototype ML-powered health and sensing solutions, including adaptive thermoregulation, multimodal health models, and simulations, to improve sleep and health outcomes.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Autopilot Thermoregulation: Design policies that optimize comfort and sleep quality in real time through reinforcement learning and closed-loop control for the Pod’s adaptive thermoregulation system.
  • •Health Foundation Modeling: Develop a multimodal health foundation model that integrates physiology and environmental context using Pod signals, wearable sensors, and contextual data.
  • •Behavioral simulations: Build a high-fidelity physiological simulator that models how daily behaviors ripple into tonight’s sleep and tomorrow’s readiness powered by Pod biosignals and continuous physiological data.
  • •Collaborate with a cross-functional R&D and production team to prototype and ship ML solutions.
  • •Apply ML to translate sensor data into personalized intelligent health and fitness experiences.

Pay and Benefits

Perks:Equity

Key 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)
Experience:3+ yearsHealthcareAIWearablesSensorsMachine learning
Education:PhD / Doctorate in Computer Science
Skills:CommunicationCollaborationProblem-solvingTeamworkAnalytical thinking
Tech Stack:PythonC/C++Reinforcement learningMultimodal MLMachine learning

Company Brief

Eight Sleep
Eight Sleep makes AI-powered sleep hardware and software (the Pod) that monitors biometrics and adjusts temperature, elevation, and sound to improve sleep and recovery for consumers and clinical applications. Recent expansion targets medical use cases and global retail. ([crunchbase.com](https://www.crunchbase.com/organization/eight-sleep?utm_source=openai))
Industry: Wellness & Preventive Health
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 250M to 500M
Funding: Series D
Headquarters: New York, United States
Founded: 2014
Glassdoor
Glassdoor: 3.8
WebsiteLinkedInGlassdoor