P
AI Infrastructure Engineer
Priya Mehra
Full-time · Mid-level · New_York
About the role
Our researchers are brilliant. Our infrastructure is not. Training runs die halfway through, experiment results get lost, and deployments happen over Slack messages. We need an AI infrastructure engineer to fix this — not as a support function, but as a core part of how we do research. If you enjoy bringing order to technical chaos and want to work alongside serious ML scientists, this is the right place.
Responsibilities
- Build and maintain GPU training infrastructure on AWS
- Set up and improve experiment tracking with MLflow
- Design model versioning and registry workflows
- Build CI/CD pipelines for model deployment
- Monitor system health and resolve infrastructure incidents
Requirements
- Experience building ML infrastructure (training pipelines, model registries, serving)
- Strong Python and familiarity with Docker and Kubernetes
- Hands-on with at least one ML experiment tracking tool (MLflow, W&B, Neptune)
- Cloud infrastructure experience (AWS, GCP, or Azure)
- Able to work closely with research scientists and translate their needs into systems
Benefits
- Work alongside world-class researchers
- Full remote
- Equity package
- Top-tier hardware
- Conference and publication support
Job Type
Full-time
Level
Mid-level
Language
English
Salary Range
$115,000 – $150,000
AI Expertise
AI & Machine Learning Engineers
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