Senior ML Operations (MLOps) Engineer

Stack

Responsibilities

• ▹Pioneer cutting-edge technology: introduce and implement cutting-edge ML technologies into products and processes to enable the future of health monitoring
• ▹End-to-end ownership: own the 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
• ▹Enhance tooling and platforms: develop tooling, microservices, and frameworks to streamline data processing, experimentation, and deployment
• ▹Effective remote communication: thrive in a remote work environment, ensuring clear and direct communication

Requirements

• ▹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

Soft skills

About the company

Eight Sleep is the world's first sleep fitness company, on a mission to fuel human potential through optimal sleep, building advanced hardware, software, and AI technology that transforms every night of sleep into a personalized, data-driven recovery experience.