At Eight Sleep, weâre on a mission to fuel human potential through optimal sleep. As the worldâs first sleep fitness company, weâre redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's âBest Inventions of the Year.â We operate like a high-performance team: fast, focused, and motivated by impact. We donât just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger.
Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isnât passive - itâs a powerful tool for living better. If youâre tired of the ordinary and driven to build at the edge of whatâs possible, this is your moment. Join us and lead the movement thatâs transforming how the world sleeps and what weâre all capable of when we wake up.
We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the worldâs top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryantâs mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isnât a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week ânot because weâre told to, but because weâre invested. Weâre here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, youâll feel right at home. If youâre looking for something easier â this isnât it.
Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. Youâll work closely with a cross-functional team to scope problems, build end-to-end prototypes, validate with data, and iterate toward something we can ship. Along the way, youâll receive hands-on mentorship, sharpen your technical toolkit, and present your results to leadership. Where appropriate, you may also develop your work into a publication.
Weâre seeking interns who care about outcomes, think in systems, and make data-driven decisions. If youâre excited to learn fast, collaborate deeply, and deliver meaningful improvements for users, weâd love to work with you.
Example topics include:
Multimodal Activity Understanding: Build and fine-tune a vision- and physiology- foundation model that detects daily activities (workouts, meals, naps) from wearables, Pod signals, and phone context to explain sleep trends.
Next-Gen Time-Series Forecasting for Sleep: Push state of the art on multivariate forecasting to predict sleep stages, heart rate, HRV, and recovery days ahead - robust to missing data and lifestyle shifts.
Lifestyle-to-Sleep Simulation (âDigital Twinâ): Create a high-fidelity simulator that models how choices (caffeine, exercise timing, alcohol, travel) ripple into tonightâs sleep and tomorrowâs readiness.
Adaptive Pod Thermoregulation: Learn personalized cooling/heating policies that react to micro-events (restlessness, awakenings) in real time - balancing comfort, sleep continuity, and energy.
Privacy-Preserving Personalization: Train better models without centralizing raw data: federated fine-tuning with differential privacy for sleep staging, anomaly detection, and forecasting.
Minimum Qualifications
Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent. Doctoral degree paths are preferred for research focused internships.
Preferred Qualifications
Itâs helpful if you meet one or more of the following qualifications, but it isnât a requirement
Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java
Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn
Practical knowledge related to building and adapting algorithms for machine learning, time series analysis, multimodal sensing, foundation model fine-tuning, reinforcement learning and related areas
Familiarity with crafting, prototyping, and evaluating interactive systems
Excellent mathematical skills in linear algebra and statistics
Ability to collaborate with others
Problem solving skills
Applied ML Engineering internships: Experience with integrating research prototypes into production applications. Proficiency conducting ethnographic or other situated studies of human interaction with or through interactive technologies. Experience crafting, conducting, analyzing, and interpreting experiments and investigations
Demonstrated expertise with proven publication or track record in at least one of the areas: machine learning, statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision theory
Research-Focused internships: Currently pursuing a doctoral degree. Research experience in Machine Learning and a demonstrable record of publishing academic research in peer-reviewed venues
Innovation in a culture of excellence
Join us in a workplace where innovation isnât just encouraged - itâs a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness.
Immediate responsibility and accelerated career growth
From your first day, youâll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our companyâs trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards.
Collaboration with exceptional talent
Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment.
Equitable compensation and continuous equity investment
We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you â perfectly aligning your achievements with the broader triumphs of the company.
Your own Pod - and other great benefits
Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us youâll get your own Pod, along with:
Full access to health, vision, and dental insurance for you and your dependents
Supplemental life insurance
Flexible PTO
Commuter benefits to ease your daily commute
Paid parental leave
At Eight Sleep we continually celebrate the diverse commu
Eight Sleep