Senior ML Operations (MLOps) Engineer

Eight Sleep; United States; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Flexible PTO

Equity participation

Paid parental leave

Job summary

Eight Sleep is looking for a Machine Learning Engineer to pioneer cutting-edge tech that enhances health monitoring through smart applications. The role requires at least 5 years of software engineering experience focused on ML infrastructure using Python. You will own the design and operation of ML systems, ensuring reliable model deployment and performance optimization. Benefits include your own health monitoring Pod, insurance packages, flexible PTO, and equity participation.

Qualifications

• 5+ years of software engineering experience focused on ML infrastructure or large-scale data processing.
• Hands-on experience with CI/CD for ML model deployment.
• Experience with shipping ML models to production and monitoring.
• Strong experience with AWS for ML system serving.

Responsibilities

• Introduce and implement cutting-edge ML technologies into products.
• Design and operate robust ML infrastructure.
• Collaborate with R&D and backend teams for reliable ML inference.
• Optimize ML systems for performance.

Skills

Python (e.g., PyTorch, TensorFlow)

ML workflow orchestration

CI/CD pipelines

AWS (Lambda, ECS, DynamoDB, CloudWatch)

Real-time ML workflows

Apache Kafka or similar

Job description

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.

Qualifications

• 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 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.

Preferred Qualifications

• 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

• Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with 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, and other benefits that may vary depending on your location.

Equitable Compensation & Continuous Equity Investment

We extend equity participation to every full‑time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you—perfectly aligning your achievements with the broader triumphs of the company.

Equal Employment Opportunity Statement

At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.