ATOMS Careers page
Cloud Platform - ML Infrastructure Engineer
- Confirmed live in the last 24 hours
- $140k–$174.5k
- Mid level
- Full-time
- On-site · Pittsburgh, PA
- 3+ yrs exp
- Added 3 weeks ago
About this role
Lab37 Robotics is seeking a skilled ML Infrastructure Engineer to build and maintain the cloud platform powering their robotic food production fleet. You will design scalable infrastructure, automate ML workflows, and collaborate with diverse teams to streamline model deployment and ensure platform reliability. This role offers the opportunity to revolutionize the food industry and work in a collaborative, innovative environment.
What you'll do
- Designing and building scalable ML infrastructure.
- Implementing automated model checkpointing and metadata management.
- Creating self-service ML workflows and tooling.
- Building and maintaining ETL pipelines for robot telemetry data.
- Contributing to infrastructure-as-code and CI/CD automation.
- Monitoring system performance and optimizing cloud costs.
What they're looking for
- Cloud infrastructure
- MLOps
- Data engineering
- MLflow/Kubeflow
- SageMaker/K8/Argo Workflows
- Terraform
- Embedded systems
Benefits
- Medical, dental, and vision insurance
- Life and disability insurance
- 401(k)
- Health Savings Account (HSA)
- Flexible Spending Accounts
- Paid time off (vacation, holidays, sick, bereavement, parental)
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ATOMS Careers page
Likely interview questions
- Describe your experience designing and implementing scalable ML infrastructure in a cloud environment.
- How have you used tools like MLflow or Kubeflow to manage model checkpoints and metadata?