Machine Learning Research Scientist, Eight Sleep
Health & Sensing
+ Equity
Smart mattress for sleep fitness
Be an early applicant
Smart mattress for sleep fitness
101-200 employees
Be an early applicant
+ Equity
101-200 employees
Company mission
To fuel human potential through optimal sleep.
Role
Who you are
- We are seeking someone who is passionate about health technologies and about making an impact on health outcome
- We look for people who tackle problems with a system approach, and make data driven decisions to deliver the best products to our users
- 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 the job involves
- Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation
- Our mission is to make people’s sleep count for more, using innovative technology, minimalistic design, and proven clinical science to personalize and improve each night for everybody—changing the way people sleep forever and for better
- Example projects include:
- Autopilot Thermoregulation: 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
- Health Foundation Modeling: 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
- Behavioral simulations: Build a high-fidelity physiological simulator that models how daily behaviors ripple into tonight’s sleep and tomorrow’s readiness. This initiative aims to create a non-invasive, always-on model of healthy aging powered by Pod biosignals and continuous physiological data
Our take
The last decade has seen a major uptick in the number of startups and companies dedicated to supporting consumers to build good health habits, typically around food and fitness. That enthusiasm is now quite rightly being extended to how we sleep.
Eight Sleep makes “smart” mattresses and mattress covers (for regular mattresses) that use machine learning and other artificial intelligence-based algorithms to improve your sleep both by changing temperature and monitoring other physical parameters to provide an overall picture of your health.
The company is focused on two levers for growth. First, building out more technology through additional products and acquisitions, exemplified by the introduction of Span Health’s fitness-tracking app. Secondly, international expansion in Europe, where it has got off to an impressive start in the UK.
Steph
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Aug 2025
$100m
SERIES D
Aug 2021
$86m
SERIES C
Total funding: $262.2m
Company HQ
Chelsea, New York, NY
Leadership
Matteo Franceschetti
(Co-Founder & CEO)Co-founded and led GIR (acquired in 2014) and Global Investment (acquired 2011).
Massimo Andreasi Bassi
(Co-Founder & CTO)Previously a Senior Software Engineer at Upsight. Also founded Staq in 2012. Before that, worked as VP of R&D for DomainsBot.
Alexandra Zatarain
(Co-Founder & VP of Brand & Marketing)Prior to Eight Sleep, served as a Mentor, offering marketing experience, for various startups, academic institutions, and Wall Street organizations.
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