Senior ML Infrastructure / ML DevOps Engineer

Pathway is a cutting-edge AI startup that is shaking the foundations of artificial intelligence by introducing the world's first post-transformer model. We are looking for a Senior ML Infrastructure / DevOps Engineer to own the infrastructure that powers our ML training and inference workloads across multiple cloud providers.

Requirements

• Design, operate, and scale GPU and CPU clusters for ML training and inference
• Automate infrastructure provisioning and configuration using infrastructure-as-code
• Build and maintain robust ML pipelines with strong guarantees around reproducibility, traceability, and rollback
• Implement and evolve ML-centric CI/CD: testing, packaging, deployment of models and services
• Own monitoring, logging, and alerting across training and serving
• Partner closely with ML engineers and researchers to productionize their work
• Participate in on-call rotation for critical ML infrastructure and lead incident response and post-mortems

Benefits

• Inclusive workplace culture
• Intellectually stimulating work environment
• Exciting career prospects
• Responsibilities and ability to make significant contribution to the company' success