Senior ML Operations (MLOps) Engineer
Core
Design and operate robust ML infrastructure to enable health monitoring in sleep technology products.
Role type
Senior IC MLOps Engineer
Builds
Scalable data, model, and deployment pipelines for the Sleep Pod
Domain
Consumer health technology / Sleep monitoring
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, ML workflow orchestration, CI/CD pipelines, distributed systems, large-scale data processing, microservices development, compute optimization
Technologies
PyTorch, TensorFlow
Responsibilities
Integrate cutting-edge ML technologies into products, own end-to-end ML infrastructure design and operation, partner with R&D and backend teams for reliable inference, optimize compute and storage resources, develop tooling for data processing and deployment
Seniority
Senior, hands-on IC
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