Machine Learning Lead
Engineering & Technology
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.
- Minimum Qualification:MBA / MSc
- Experience Level:Senior level
- Experience Length:6 years
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, fast.ai)
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
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