Senior Manager, Machine Learning Engineering (AI)

Location: Based at the Los Angeles Headquarters, United States.

Company

Riot Games develops League of Legends and other player-focused games and experiences.

What you will do

• Lead the Machine Learning Engineering team building and operating ML systems for League of Legends, including player-facing experiences and developer tools.
• Define the end-to-end ML engineering vision and strategy across data and feature pipelines, model development, deployment, evaluation, and operations.
• Manage engineers through performance development, mentoring, recruiting, staffing, delivery, and outcomes.
• Set direction for MLOps, improving model quality, efficiency, reliability, monitoring, and operational excellence.
• Partner with product, technical production, engineering, and other LoL PC teams to deliver scalable ML-powered solutions.
• Contribute to cross-Riot MLE standards while remaining active in a Player-Coach role and guiding adoption of applied ML and MLOps practices.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• 10+ years of experience building and operating large-scale software systems, including significant experience with production ML systems.
• Strong 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, including model lifecycle management, experimentation, monitoring, and deployment at scale.
• Experience collaborating across multiple teams, departments, and disciplines.
• Experience with project planning, prioritization frameworks, and investment strategies across people, platforms, and systems.

Nice to have

• 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.

Culture & Benefits

• Player-first culture focused on improving player experiences and collaborative decision-making.
• Open paid time off policy and flexible work schedules.
• Medical, dental, and life insurance.
• Parental leave for employees, spouses or domestic partners, and children.
• 401k with company match.