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Riot Games

Online multiplayer game developer and publisher

Senior Manager, ML Engineering - League of Legends

Engineering LeadershipUpdated on Nov 11
Full-timeLos Angeles, CA, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related field, or equivalent experience.
  • At least 10 years of experience building and operating large-scale software systems, with significant experience in production machine learning systems.
  • Strong expertise in computer science fundamentals, including system design, data structures, and algorithms.
  • Experience using Java, C++, Python, or similar languages in large-scale production environments.
  • Deep knowledge of MLOps and modeling best practices, including model lifecycle management, experimentation, monitoring, and deployment at scale.
  • Experience collaborating across multiple teams, departments, and disciplines to create solutions.
  • Experience with project planning, prioritization frameworks, and guiding investment strategies across people, platforms, and systems.

Responsibilities

  • Lead the Machine Learning Engineering team responsible for building and operating machine learning systems for League of Legends, including player-facing experiences and developer-facing tools.
  • Own the technical vision, execution, and business impact of machine learning applications in League of Legends.
  • Shape end-to-end machine learning engineering strategy across data and feature pipelines, model development, deployment, evaluation, and operations, ensuring production systems are scalable, reliable, and measurable.
  • Partner with development themes’ product and production leaders to enable existing and future League of Legends player experiences.
  • Manage a team of engineers, drive performance, develop future leaders, identify growth opportunities, and ensure strong delivery and outcomes.
  • Define, own, and communicate an engineering vision; work with cross-functional and engineering leaders on a long-term organizational and staffing plan aligned with technical and product goals.
  • Lead team functions including budgeting, recruiting, hiring, mentoring, performance management, and management of contingent staff.
  • Set direction for MLOps and modeling across the machine learning product lifecycle, continuously improving model quality, efficiency, reliability, and operational excellence.
  • Collaborate with product management and technical production partners across League of Legends PC to deliver scalable, reliable, high-impact machine-learning solutions.
  • Foster communication and collaboration within engineering teams, central Machine Learning Engineering groups, and other League of Legends PC departments.
  • Strengthen cross-Riot Machine Learning Engineering craft support and contribute to improvements in craft standards.
  • Stay current with applied machine learning and MLOps trends and technologies, and guide pragmatic adoption of practices that improve product quality and player impact.
  • Continue developing individual skills to deliver projects in a player-coach dynamic.

Desired Qualifications

  • A master's degree in Computer Science or a related field, or equivalent experience.
  • Familiarity with Responsible AI frameworks, fairness considerations, and long-term player impact measurement.
  • Experience with large-scale experimentation platforms and online evaluation frameworks.
  • Experience leading full-stack teams.
  • Experience leading distributed or remote teams.

About the Company

Riot Games

Online multiplayer game developer and publisher

Riot Games develops and publishes online multiplayer video games, with League of Legends as its flagship title. The game is free-to-play and supported by in-game purchases like cosmetic items and skins, while competitive play drives engagement through its esports ecosystem. Riot Games also runs Riot Forge, a publishing arm that partners with third-party developers to create new games within the League of Legends universe. The company earns revenue from cosmetic microtransactions, esports events, sponsorships, and merchandise. What sets Riot Games apart is its emphasis on building a large, global community around its titles and expanding its universe through collaborations with external developers. The goal is to create enduring, connected gaming experiences that sustain a vibrant community and a growing esports ecosystem around its flagship franchises.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$15M
Headquarters
Los Angeles, CA
Founded
2006

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