Staff Ml Engineer, Ml Platform - Game Tech Group

Riot Games

Los Angeles, United States
On-site
Ml inference infrastructure
Ci/cd workflows for ml artifacts
Platform observability features
You will be enabling productionized machine learning across all of Riot, at a global scale

Job Summary

  • You will be enabling productionized machine learning across all of Riot, at a global scale.
  • Your contributions will make ML & AI easier to adopt and operate across Riot, helping game and platform teams deliver high-impact machine learning solutions more efficiently.
  • Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules.

Matching Summary

You will be enabling productionized machine learning across all of Riot, at a global scale.

Skills & Requirements

Must-have

  • ML inference infrastructure
  • CI/CD workflows for ML artifacts
  • platform observability features
  • ML deployment best practices
  • developer UX
  • long-term platform architecture
  • cloud-agnostic inference platforms
  • inference serving frameworks
  • GPU orchestration

Nice-to-have

  • player experience
  • game systems
  • creative technology development
  • online model evaluation
  • machine learning workflows

Key Requirements

  • 6+ years of experience in software engineering
  • Experience maintaining cloud-agnostic inference platforms
  • Experience running open source frameworks
  • Experience with inference serving frameworks
  • Familiarity with GPU orchestration
  • Exposure to CI/CD workflows
  • Exposure to infrastructure-as-code
  • Maintained or led development of services

Work Rights

Not specified

Tailored Resume

Cover Letter