Senior ML Operations (MLOps) Engineer

Coinscapture; United States; A distancia; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity participation

Pod ownership for every employee

Health, vision & dental insurance

Supplemental life insurance

Flexible PTO

Commuter benefits

Paid parental leave

Descripción de la vacante

Eight Sleep seeks a Senior ML Operations Engineer to build and operate cutting-edge ML infrastructure for the Pod platform. You’ll own data pipelines, model deployment, and monitoring across fleets, collaborating with R&D, firmware, data, and backend teams to ensure scalable, reliable inference.

The role emphasizes real-time ML workflows, cloud-native deployment on AWS, and cost-efficient, high-performance systems. A fast-paced, remote-friendly environment invites technically bold contributors.

Formación

• 5+ years of software engineering with ML infra focus
• Hands-on ML workflow orchestration and CI/CD for model deployment
• Experience shipping ML models to production at scale with telemetry & monitoring

Responsabilidades

• Design and operate robust ML infrastructure and deployment pipelines
• Own end-to-end ML data/model deployment to production
• Collaborate with R&D, firmware, data and backend teams for reliable inference
• Optimize compute, storage, and deployment resources for performance
• Develop tooling and frameworks to streamline data processing and experimentation

Conocimientos

Python (ML infra)

ML workflow orchestration

CI/CD for ML

Distributed systems

AWS cloud stack

Real-time ML streaming

Herramientas

PyTorch

TensorFlow

AWS (Lambda / ECS / DynamoDB / CloudWatch)

Descripción del empleo

# Senior ML Operations (MLOps) EngineerEight SleepRemoteAnywhereDevOps & InfrastructurePosted Oct 4, 2026Join 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.