Machine Learning Lead

Eight Sleep

 190k - 250k
 United States  (New York)
Eight Sleep logo

Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people’s sleep count for more, using innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for better. 

Our mission is to fuel human potential through optimal sleep. In 2019, we launched our temperature-regulated smart bed, the Pod. It's an absolute game changer, improving people's health and happiness by changing the way they sleep. Eight Sleep has partnered with Barry’s as their Official Sleep Fitness Partner. We actively collaborate with Justin Medeiros, 2021 Crossfit Champion, and Red Gerard, U.S. Snowboarding Olympic Gold-Medalist, as well as the Mercedes Formula One team. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures, and Y Combinator, we’ve raised over $150 million to date. We were recognized as one of Fast Company’s Most Innovative Companies in Consumer Electronics in 2019 and 2022.


That is why Eight Sleep is looking for an experienced ML Lead to help us innovate our product features. You will be responsible for leading a team that generates ML models and algorithms that enable exciting new health features for our users. Today, we offer heart rate, heart rate variability, sleep, and other metrics. Tomorrow, your imagination will unlock new meaningful metrics that will induce behavior change for better sleep and better health. To do so, you will work closely with a highly cross-functional R&D and product team to prototype and to ship solutions.

We are seeking someone who is passionate about health technologies and about making an impact on health outcomes. We look for people who tackle problems with a system approach, and make data driven decisions to deliver the best products to our users. 

How you'll contribute

  • Lead a team that develops next gen ML models, algorithms, and insights

  • Architect infrastructures that enable rapid prototyping and deployment of models and insights

  • Coordinate with product and software teams to incorporate design into production

  • Advance the field of ML algorithms for sleep health, and publish your work at top conferences and journals

What you'll need to succeed 

  • MS/PhD in Computer Science or Engineering with 6+ years of industry experience in the field of health sensing and health technologies

  • 2+ years of people management, hiring, and career development experience

  • Strong technical & coding background

    • Excellent Python programming and object-oriented design skills with experience working with commonly used ML/DNN frameworks (Tensorflow, PyTorch,

    • Strong experience designing, training and evaluating neural network architectures with a good understanding of statistical techniques and concepts

    • Experience working with time-series data from physiological signals, and knowledge of the underlying human physiology

  • Experience conducting A/B tests and randomized trials

  • Passion for data exploration and visualization

Why you’ll love Eight 

  • We’re a tight-knit, passionate team that’s working to improve people’s lives by improving the way they sleep

  • Leadership is committed to employees’ wellness and career development

  • You’ll get a better night sleep every night; all full-time employees receive the Pod

  • Flexible, generous PTO 

  • 100% employer contribution for medical/dental/vision insurance

At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Apply now