Senior ML Operations (MLOps) Engineer

Eight Sleep, Inc.; Alexandria (VA); Remote; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Dental insurance

Equity

Flexible PTO

Parental leave

Commuter benefits

Job summary

Eight Sleep seeks a Sr MLOps Engineer to bring current and next generations of Pod ML models to life. You will join a small, autonomous team designing and implementing ML infrastructure that directly impacts our sleep product lines. Work with cross-functional teams to ensure reliable, scalable ML inference across devices.

The role emphasizes ownership, fast iteration, and collaboration with R&D, firmware, data, and backend units. A growth mindset and efficient remote communication are essential.

Qualifications

• 5+ years of software engineering experience focusing on ML infrastructure, distributed data processing, or large-scale systems.
• Hands-on experience with ML workflow orchestration and CI/CD pipelines for model deployment.
• Proven ability to ship ML models to production with telemetry, monitoring, and feedback loops.

Responsibilities

• Design and operate robust ML infrastructure and deployment pipelines.
• Build scalable data, model, and deployment workflows for production.
• Collaborate with R&D, firmware, data, and backend teams to ensure reliable ML inference.
• Optimize compute, storage, and deployment for cost, latency, and scalability.
• Develop tooling and frameworks to streamline data processing, experimentation, and deployment.
• Communicate effectively in a remote work environment.

Skills

Python

ML infra

Distributed systems

Cloud AWS

CI/CD

PyTorch

TensorFlow

Tools

Docker

Kubernetes

Terraform

Job description

Join the Sleep Fitness Movement
At Eight Sleep, we're on a mission to fuel human potential through optimal sleep. As the world's first sleep fitness company, we're redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience.

Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn't passive, it's a powerful tool for living better. If you're tired of the ordinary and driven to build at the edge of what's possible, this is your moment.

High Standards. No Apologies.
We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world's top performers: focused, relentless, and always pushing to be in the top 1% of our craft. This isn't a 9-to-5. Our team is deeply committed, often putting in the extra effort, not because we're told to, but because we're invested in building something category-defining.

The Role

Join our team as a Sr MLOps Engineer to help us bring current and next generations of Pod ML models to life. You'll be a part of a small team designing and implementing solutions with high levels of autonomy to bring our members better sleep. Your work will go directly to our fleet of existing Pods with low friction and direct impact to the business. We are a fast moving and fast growing company, and we embrace individuals with a growth mindset and strong desire to help us achieve our mission: Improving people's lives through optimal sleep.

How you’ll contribute

• 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.

What you need to succeed

• 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.

What sets you apart:

• 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.

Why join Eight Sleep?

Innovation in a culture of excellence

Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness.

Immediate responsibility and accelerated career growth

From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards.

Collaboration with exceptional talent

Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment.

Equitable compensation and 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.

Your own Pod - and other great 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

*List of benefits may vary depending on your location

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.