Machine Learning Infrastructure Engineer
Baseten
Support machine learning model serving at Baseten through scalable infrastructure, performance standards, and dependable operational processes. Learn directly from users building AI products.
As a Cloud Platform Engineer, you will build systems that keep model deployment and operation scalable, reliable, and efficient. Your work may include multi-cloud capacity management, B200 GPU inference, multi-node inference, and fractional H100 GPU serving. You will also automate deployments, monitor systems, and manage incidents while owning projects end to end.
Key Responsibilities:
- Maintain infrastructure supporting machine learning model operations
- Optimize infrastructure performance and manage operational incidents
- Automate deployments and relevant engineering processes
- Own products and projects through specification and execution
- Mentor junior team members and share organizational knowledge
Requirements:
- Experience maintaining scalable infrastructure
- Extensive experience with Kubernetes
- Experience with infrastructure-as-code tools
- Experience with CI/CD tooling
- Openness to learning machine learning without prior experience
Apply infrastructure engineering judgment to help Baseten operate advanced model-serving systems across evolving AI workloads.
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