Riot Games

Staff Machine Learning Engineer - Game Tech Group, ML Platform

Los Angeles, USA · Staff+

Sponsorship not specifiedDetected 46 days ago

TerraformCI/CDMachine LearningLLMsMLOpsAI OrchestrationA/B TestingCommunication

About the role

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.
Our goal is to help teams across Riot move ML systems from experimentation into reliable production services quickly and confidently.

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, from foundation models to gradient boosted trees, for high throughput, low latency, and high availability
Collaborate with researchers and game teams to understand product needs and build reusable platform capabilities
That mission drives every decision in our quest to create games and experiences that make it better to be a player.
Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

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
Experience with CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management
Hands-on experience with optimizing ML & AI deployments (LLMs, diffusion models, etc.) for throughput, latency and reliability
Familiarity with agentic workflows and orchestration frameworks for LLM-based systems
Passion for player experience, game systems, or creative technology development
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players.
Experience building ML infrastructure within a real-time, or latency-sensitive environment

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules.
We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match.
Check out our benefits pages for more information.

At Riot Games, we put players first.
Whether you're working directly on a new player-facing experience or you're supporting the company as a whole, everyone at Riot is part of our mission.
If that sounds like the kind of place you want to work, we're looking forward to your application.

This listing is sourced directly from Riot Games's careers page and normalized into a canonical job model.