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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. 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.
Job Responsibility:
Work on AI/ML problems in the sleep fitness and personal health space
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
Present your results to leadership
Where appropriate, 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
Doctoral degree paths are preferred for research focused internships
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:
Equity participation to every full-time team member
Periodic equity refreshments based on performance
Your own Pod
Full access to health, vision, and dental insurance for you and your dependents