Staff Software Engineer, ML Infrastructure

Boston, MA

USD 146K-215K Senior-level Full Time

@ S...

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Found 21d ago

Tasks

Build feedback loops between cloud inference edge devices and data pipelines
Define SLOs and observability standards for ML services
Design and evolve real time cloud inference systems
Drive architecture decisions for Kubernetes based ML platform
Establish best practices for model lifecycle management and on call
Identify and remove bottlenecks in ML deployment infrastructure
Improve throughput latency and cost for production CV models
Lead incident response and postmortems for ML systems
Lead technical reviews for system design and capacity planning
Mentor engineers through design reviews code reviews pairing and guidance
Set technical direction for ML infrastructure
Shape production LLM serving patterns and evaluation pipelines
Write documentation runbooks and architecture decision records

Perks/Benefits

Skills/Tech-stack

Education

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Staff Software Engineer, ML Infrastructure

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