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NEXTMOVEFDE careers · United States

Staff Machine Learning Engineer - Game Tech Group, ML Platform

AI summary of the role

Staff Machine Learning Engineer on Riot's ML Platform team, responsible for architecting and scaling the shared infrastructure behind Riot's AI ecosystem.

What you’ll do

  • Design and operate AI & ML inference infrastructure, including deployment pipelines and CPU/GPU-aware orchestration
  • Develop CI/CD workflows that enable rapid iteration and safe promotion from development to production
  • Optimize infrastructure supporting varied model architectures for high throughput, low latency, and high availability
  • Establish and evolve ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and rollback strategies

What you’ll bring

  • 6+ years of experience in engineering, with time spent on ML/AI, platform or infrastructure teams
  • Experience operating inference platforms such as KServe and production ML infrastructure including Feast, Milvus, or similar open-source systems
  • Experience with one or more inference serving frameworks, including NVIDIA Triton/Dynamo, TorchServe, or similar systems
  • Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling

Technologies

KServe · Feast · Milvus · NVIDIA Triton · NVIDIA Dynamo · TorchServe · Terraform · GPU orchestration · CI/CD · MLOps

About Riot Games

Creator of League of Legends (100M+ monthly active players), VALORANT esports FPS, and emerging titles (2XKO, Riftbound). Designs competitive player-centric experiences across PC, mobile, and console.

Private Late · 5000+ people

Source and classification

Deployment team leadership · Evidence for this classification:

Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As a Staff Machine Learning Engineer at Riot, you’ll also dive into projects that focus on team cohesiveness and cross-team goals. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering. Riot Games is building the next generation of its ML Platform to support AI and machine learning systems across game development, player experiences, and internal tools. We’re looking for a Staff Machine Learning Engineer to help design and scale the infrastructure powering a wide range of ML workloads and evolving AI systems across Riot. The ML Platform team builds and operates the shared infrastructure behind Riot’s AI ecosystem, including model serving, orchestration, feature management, and deployment workflows. Our
How jobs are selected

Employer postings · Data from · Sources