Eight Sleep

Senior ML Operations (MLOps) Engineer

Eight Sleep
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6 months ago
Remote, WorldwideSenior
H1B Sponsor

Responsibilities

  • Introduce and implement cutting-edge ML technologies into products and processes.
  • Own the design and operation of robust ML infrastructure.
  • Build scalable data, model, and deployment pipelines.
  • Collaborate with R&D, firmware, data, and backend teams.
  • Drive cost-effective and high-performance ML systems.
  • Develop tooling, microservices, and frameworks for data processing.

Requirements

  • 5+ years of software engineering experience focused on ML infrastructure.
  • Hands-on experience with ML workflow orchestration and CI/CD pipelines.
  • Demonstrated success in shipping ML models to production at scale.
  • Strong experience with AWS or equivalent cloud platforms.
  • A collaborative and iterative approach to problem-solving.

Benefits

  • Receive your own Pod, the flagship product of Eight Sleep.
  • Full access to health, vision, and dental insurance for you and your dependents.
  • Flexible PTO and commuter benefits.
  • Paid parental leave.
  • Equity participation and periodic equity refreshments based on performance.

Tech Stack

Amazon DynamoDBApache FlinkApache KafkaAWSPythonPyTorchTensorFlow

Categories

AI & MLData EngineeringDevOps
Eight Sleep

About Eight Sleep

51-200 employees

Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use 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 the better. With our flagship product, the Pod, we are addressing critical sleep issues such as temperature regulation, bed elevation, snoring reduction, and the wake-up experience. Hundreds of thousands of customers around the world sleep better every night thanks to the Pod. We are backed by leading Silicon Valley investors like YC Combinator, Founders Fund, Valor, and Khosla Ventures, and we have been recognized as one of Fast Company’s Most Innovative Companies in 2018, 2022, and 2023.The Pod was also recognized two years in a row by TIME's “Best Inventions of the Year.” We currently sell the Pod in the United States, Canada, United Kingdom, Europe, Australia, UAE, Mexico, Switzerland and Saudi Arabia.