Senior ML Operations – MLOps Engineer
Eight Sleep
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudDistributed SystemsDynamoDBPythonPyTorchTensorflow
About the role
- 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.
Requirements
- 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 (e.g., SageMaker, Vertex AI, MLflow, or Kubeflow) 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.
Benefits
- 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
- Every Eight Sleep employee receives a Pod of their own
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningPythonPyTorchTensorFlowML workflow orchestrationSageMakerVertex AIMLflowKubeflowCI/CD pipelines
Soft skills
cross-functional collaborationeffective remote communicationadaptive problem solving