Senior ML Operations (MLOps) Engineer
Eight Sleep7 months ago
Responsibilities
- Design and operate robust ML infrastructure and scalable data, model, and deployment pipelines.
- Integrate cutting-edge ML technologies into products and processes for health monitoring.
- Ensure reliable delivery of ML models to production and dependable ML inference across the Pod fleet.
- Collaborate with R&D, firmware, data, and backend teams.
- Optimize compute, storage, deployment resources, performance, latency, and cloud costs across training and inference.
- Develop tooling, microservices, and frameworks for data processing, experimentation, and deployment.
- Support telemetry, monitoring, and feedback loops for production ML systems.
- Communicate clearly and directly in a remote work environment.
Requirements
- 5+ years of software engineering experience focused on ML infrastructure, distributed systems, or large-scale data processing in Python.
- Hands-on experience with ML workflow orchestration and CI/CD pipelines for model deployment.
- Experience shipping ML models to production at scale, including telemetry, monitoring, and feedback loops across device fleets or user populations.
- Strong experience with AWS services such as Lambda, ECS, DynamoDB, and CloudWatch, or equivalent cloud platforms.
- Preferred experience with real-time ML workflows and streaming systems such as Kinesis, Kafka, or Flink.
- Preferred experience optimizing ML infrastructure for efficiency, latency, and cloud cost at scale.
- Preferred understanding of secure ML operations, privacy practices, and compliance considerations for health-related or IoT data.
- Familiarity with health, wellness, IoT, wearables, or medical-grade devices is preferred.
- Ability to work collaboratively and iteratively in a fast-paced environment.
Benefits
- Remote work environment
- Equity participation for every full-time team member, including periodic equity refreshes based on performance
- A company-provided Pod
- Health, vision, and dental insurance for employees and dependents
- Supplemental life insurance
- Flexible paid time off
- Commuter benefits
- Paid parental leave
- Benefits may vary by location
Tech Stack
Categories
About Eight Sleep
Eight Sleep builds the Pod, a smart mattress system that controls temperature, elevation, and wake-up and provides sleep analytics for consumers and athletes. The company sells hardware directly online with a companion app and optional membership for personalized insights and automations. Founded in 2014 and headquartered in New York, it is privately held and sells in the U.S., Canada, the U.K., Europe, Australia, the UAE, Mexico, Switzerland, and Saudi Arabia.