eightsleep
eightsleep7mo ago
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AI/ML Research Internship

San Franciscofull-timeentry
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Quick Summary

Overview

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.

Key Responsibilities

Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space.

Requirements Summary

It’s helpful if you meet one or more of the following qualifications, but it isn’t a requirement Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java Experience with ML libraries, such as TensorFlow,…

Technical Tools
javapythonpytorchreactscikit-learnswifttensorflowforecastingmachine-learningmentoring

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. 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 “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t 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 isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re 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 world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re 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, you’ll feel right at home. If you’re looking for something easier – this isn’t it.

Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You’ll 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, you’ll 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.

We’re seeking interns who care about outcomes, think in systems, and make data-driven decisions. If you’re excited to learn fast, collaborate deeply, and deliver meaningful improvements for users, we’d 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 (“Digital Twin”): Create a high-fidelity simulator that models how choices (caffeine, exercise timing, alcohol, travel) ripple into tonight’s sleep and tomorrow’s 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.

Requirements

~1 min read
  • 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.

  • Requirements

    ~1 min read
    • It’s helpful if you meet one or more of the following qualifications, but it isn’t 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

    What We Offer

    ~1 min read

    Join us in a workplace where innovation isn’t just encouraged - it’s 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.

    Responsibilities

    ~1 min read

    From your first day, you’ll 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 company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards.

    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.

    What We Offer

    ~1 min read

    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 – perfectly aligning your achievements with the broader triumphs of the company.

    What We Offer

    ~1 min read
    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

    Location & Eligibility

    Where is the job
    San Francisco
    On-site at the office
    Who can apply
    Open to applicants worldwide

    Listing Details

    Posted
    October 7, 2025
    First seen
    May 6, 2026
    Last seen
    May 8, 2026

    Posting Health

    Days active
    0
    Repost count
    0
    Trust Level
    14%
    Scored at
    May 6, 2026

    Signal breakdown

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    eightsleepAI/ML Research Internship