ML Compute Efficiency Automation Engineer, Infrastructure & Planning

What you'll do

• Govern compute as code to ensure accurate resource requests and allocations at scale.
• Hunt down inefficiencies in ML workloads across various hardware, tracing causes and driving fixes.
• Work on real optimization problems like scheduling, capacity allocation, and cost reduction.
• Automate manual workflows to eliminate routine tasks and reduce escalations to zero.
• Build telemetry and anomaly detection systems that surface efficiency opportunities proactively.
• Rebuild processes to handle scale growth without increasing headcount or manual intervention.

What we're looking for

• 6+ years experience in building production software, automation, tooling, or data infrastructure systems.
• Strong programming skills in Python or similar languages with fluency in AI tooling integration.
• Experience designing data models and telemetry schemas for large-scale compute environments.
• Proficient in SQL and dashboard tools like Tableau, Looker, or Grafana for complex system monitoring.
• Expertise in running and optimizing complex systems in high-demand ML compute environments.
• Ability to identify non-automation needs and ensure autonomous systems are properly safeguarded.