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Listed on Eight Sleep’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves designing and operating ML infrastructure for a sleep fitness device company, building scalable pipelines to deploy models to thousands of hardware devices in the field. It suits experienced ML engineers who want to own the full lifecycle of production systems and work on real-time inference at scale.
Our summary, not Eight Sleep’s wording. The full posting is on their site.
Skills this role names
- Amazon CloudWatch
- Amazon ECS
- Amazon Web Services (AWS)
- Apache Flink
- Apache Kafka
- AWS Lambda
- CI/CD
- DynamoDB
- Python
- PyTorch
- TensorFlow
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What they ask for
Required
- 5+ years of software engineering experience with ML infrastructure, distributed systems, or large-scale data processing focus
- Hands-on experience with ML workflow orchestration and CI/CD pipelines for model deployment
- Demonstrated success shipping ML models to production at scale with telemetry and monitoring
- Strong experience with AWS or equivalent cloud platforms for serving and monitoring ML systems
- Ability to work effectively in a remote environment
Nice to have
- Expertise in real-time ML workflows and streaming systems
- Demonstrated expertise optimizing ML infrastructure for efficiency, latency, and cloud cost
- Understanding of secure ML operations, privacy practices, and compliance for health or IoT data
- Familiarity with health, wellness, IoT domains, or wearable and medical-grade devices