Senior ML Operations (MLOps) Engineer

Eight Sleep · Job · via Jobicy

Type
Job
Organization
Eight Sleep
Location
Anywhere
Deadline
Rolling or not stated
Remote
Yes
Who can apply
Anywhere in the world
Posted
4 October 2026
Skills mentioned
Python, PyTorch, TensorFlow, CI/CD, AWS, Kafka

Apply — via Jobicy

About this Opportunity

Join the Sleep Fitness MovementAt 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.

Eligibility

  • Demonstrated success shipping ML models to production at scale, handling telemetry, monitoring, and feedback loops across large device fleets or user populations.
  • Cloud-Native Expertise: Strong experience with AWS (Lambda, ECS, DynamoDB, CloudWatch) or equivalent cloud platforms for serving and monitoring ML systems.
  • Adaptive Problem Solver: A fast-paced, collaborative, and iterative approach to tackling complex problems.
  • What sets you apart: Expertise in real-time ML workflows and streaming systems (e.g., Kinesis, Kafka, Flink).
  • Demonstrated expertise in optimizing ML infrastructure for efficiency, latency, and cloud cost at scale.
  • Understanding of secure ML operations, privacy practices, and compliance considerations, particularly for health-related or IoT data.

Documents you may need

  • Updated CV / Resume
  • Cover Letter (tailored to this role)

How to apply

  1. Click the "Apply — via Jobicy" button to go to the source page.
  2. Read the full description and confirm you meet the requirements.
  3. Prepare your CV and cover letter tailored to this role.
  4. Submit your application through the official portal.
  5. Follow up within 1–2 weeks if you do not hear back.

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