AI/ML Research Internship

The Role

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.

What You'll Help Build

• 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.

What You'll Need To Succeed

• 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:
• 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.
• Able to collaborate with others.
• Problem solving skills.
• Applied ML Engineering internships: Experience with integrating research prototypes into production applications.
• Experience 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.

Why join Eight Sleep?

• Innovation in a culture of excellence
• Immediate responsibility and accelerated career growth
• Collaboration with exceptional talent
• Equitable compensation and continuous equity investment
• Your Own Pod - And Other Great Benefits