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Eight Sleep · 3 months ago

Senior ML Operations (MLOps) Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

Eight Sleep is the world’s first sleep fitness company, dedicated to improving human potential through optimal sleep. They are seeking a Senior ML Operations Engineer to design and implement ML infrastructure, collaborating across teams to enhance their innovative sleep technology, the Pod.

Consumer Electronics

Growth Opportunities

H1B Sponsor Likely

Responsibilities

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

Qualification

ML infrastructureML workflow orchestrationAWS expertisePythonReal-time ML workflowsScalable deploymentAdaptive problem solverEffective remote communicationHealthWellness domainCollaboration

Required

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)

Hands-on experience with ML workflow orchestration (e.g., SageMaker, Vertex AI, MLflow, or Kubeflow) and CI/CD pipelines for model deployment

Demonstrated success shipping ML models to production at scale, handling telemetry, monitoring, and feedback loops across large device fleets or user populations

Strong experience with AWS (Lambda, ECS, DynamoDB, CloudWatch) or equivalent cloud platforms for serving and monitoring ML systems

A fast-paced, collaborative, and iterative approach to tackling complex problems

Preferred

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

Familiarity with health, wellness, or IoT domains, especially wearables or medical-grade devices

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

Company

Eight Sleep

Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep.

Founded in 2014

New York, NY, US

51-200 employees

https://eightsleep.com

H1B Sponsorship

Eight Sleep has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (1)

2024 (2)