AI/ML Research Internship

Eight Sleep • San Francisco, CA

82d

About The Position

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.

Requirements

• Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent.
• 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, and multimodal sensing.
• Excellent mathematical skills in linear algebra and statistics.

Nice To Haves

• Experience with integrating research prototypes into production applications.
• Demonstrated expertise with proven publication or track record in machine learning, statistics, or related areas.
• Research experience in Machine Learning and a demonstrable record of publishing academic research.

Responsibilities

• Build and fine-tune a vision- and physiology- foundation model that detects daily activities from wearables, Pod signals, and phone context to explain sleep trends.
• Push state of the art on multivariate forecasting to predict sleep stages, heart rate, HRV, and recovery days ahead.
• Create a high-fidelity simulator that models how lifestyle choices impact sleep and readiness.
• Learn personalized cooling/heating policies that react to micro-events in real time.
• Train better models without centralizing raw data using federated fine-tuning with differential privacy.

Benefits

• 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.
• Every employee receives a Pod.

What This Job Offers

• Career Level: Intern
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees