Staff Machine Learning Engineer - Game Tech Group, ML Platform

What this role involves

This role focuses on designing and scaling the ML platform infrastructure at Riot Games, including model serving, deployment, observability, and lifecycle management. The engineer will apply MLOps practices to improve reliability and scalability for AI-powered products. They will collaborate with researchers and game teams to build reusable platform capabilities and shape the long-term technical direction.

Skills this posting asks for

• kserve
• feast
• milvus
• nvidia triton
• torchserve
• gpu orchestration
• ci/cd
• terraform
• artifact management
• distributed systems
• mlops
• model serving
• orchestration
• feature management
• deployment workflows
• inference serving
• model deployment
• observability
• lifecycle management
• agentic workflows
• llms
• diffusion models
• infrastructure-as-code
• service-oriented architectures

Requirements

• 6 years of experience
• Level: staff

From the employer’s posting

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 pro…