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Cloud Platform - ML Infrastructure Engineer
$140K–$174K
Pittsburgh, PA +1 · Full-time · Posted Sep 11, 2026
- Location
- Pittsburgh, PA
Pittsburgh - Experience
- 3+ years in Cloud infrastructure, MLOps, and data engineering at scale.
About the job
Build and operate the cloud and ML platform that processes robot telemetry, supports model training and deployment, and serves Lab37’s robotics fleet and product teams.
What you'll do
- Design scalable ML infrastructure, including checkpointing, metadata management, experiment tracking, and self-service workflows.
- Build and maintain ETL and telemetry pipelines, infrastructure-as-code, and CI/CD automation.
- Support model deployment to robot fleets; monitor reliability, model drift, throughput, and cloud costs, including participating in on-call rotations.
What they ask for
- 3+ years of experience in Cloud infrastructure, MLOps, and data engineering at scale.
- Hands-on experience with automated model checkpointing, model registries, and metadata management.
- Strong experience with ML and cloud workflow orchestration tools and cloud storage architectures.
- Experience working with embedded engineers.
Nice to have
Pay
$140,000 - $174,500 per year (base salary)
Tools
MLflow, Kubeflow, SageMaker, K8, Argo Workflows, Bedrock, Terraform
AI focus
Build ML infrastructure and training workflows, track experiments and model drift, and help deploy ML models to robots in the field.
Model-written summary · the original posting is authoritative