Senior ML Ops Engineer - Remote, Equity & Impact

Remote Jobs; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity participation

Own a Pod

Health, dental, vision insurance

Flexible PTO

Parental leave

Commuter benefits

Job summary

Eight Sleep is a leading sleep fitness company building Pod hardware, software, and AI to optimize recovery. As Sr MLOps Engineer you’ll help bring current and next generations of Pod ML models to life, with autonomy and direct impact on our members' sleep.

You'll work in a fast-moving, growth-focused environment, collaborating with R&D, firmware, data, and backend teams, while thriving in a remote setup. Equity participation and a comprehensive benefits package are part of the role.

Qualifications

• 5+ years of software engineering experience with a focus 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 with telemetry, monitoring, and feedback loops.
• Experience with cloud-native ML deployment and services.

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.

Skills

Software engineering

ML infrastructure

Distributed systems

Large-scale data processing

Python

Tools

AWS

Lambda

ECS

DynamoDB

CloudWatch

Job description

Eight Sleep is a leading sleep fitness company building Pod hardware, software, and AI to optimize recovery. As Sr MLOps Engineer you’ll help bring current and next generations of Pod ML models to life, with autonomy and direct impact on our members' sleep.

You'll work in a fast-moving, growth-focused environment, collaborating with R&D, firmware, data, and backend teams, while thriving in a remote setup. Equity participation and a comprehensive benefits package are part of the role.