Senior ML Operations – MLOps Engineer

🕒 October 9, 2025

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Eight Sleep

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

🧘 Wellness

🔧 Hardware

Wellness • Hardware • Consumer Electronics

Eight Sleep is a company dedicated to enhancing sleep quality through innovative technology. Their flagship product, the Pod, is a high-tech bedding solution that integrates automatic heating and cooling, as well as health-grade sensors to monitor vitals like heart rate and breathing during sleep. The Pod features an adjustable base to reduce snoring and customize sleeping positions, while the Hub system ensures connectivity and control through an app. Eight Sleep offers a personalized sleep environment, tailoring temperatures to individual needs and providing detailed sleep reports without the need for wearables. Their mission is to provide the ultimate environment for deep, restorative sleep, backed by scientific research and industry experts.

📋 Description

• Pioneer Cutting-Edge Technology: Introduce and implement cutting-edge ML technologies, integrating them into our products and processes to enable the future of health monitoring • End-to-End Ownership: Own design and operation of robust ML infrastructure – building scalable data, model, and deployment pipelines that ensure reliable delivery of models to production. • Cross-functional Collaboration: Partner with R&D, firmware, data, and backend teams to ensure ML inference operates reliably and scales to Pods everywhere. • Optimize for Performance: Drive cost-effective, scalable, and high-performance ML systems by optimizing compute, storage, and deployment resources across training and inference • Enhance Tooling and Platforms: Develop tooling, micro services, and frameworks to streamline data processing, experimentation, and deployment • Effective Remote Communication: Thrive in a remote work environment, ensuring clear and direct communication.

🎯 Requirements

• Proven Expertise: 5+ years of software engineering experience with a focus on ML infrastructure, distributed systems, or large-scale data processing in Python (e.g., PyTorch, TensorFlow, or similar). • ML Operations Mastery: Hands-on experience with ML workflow orchestration (e.g., SageMaker, Vertex AI, MLflow, or Kubeflow) and CI/CD pipelines for model deployment. • Scalable Deployment Experience: 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.

🏖️ Benefits

• Full access to health, vision, and dental insurance for you and your dependents • Supplemental life insurance • Flexible PTO • Commuter benefits to ease your daily commute • Paid parental leave • Every Eight Sleep employee receives a Pod of their own