# Senior Manager, Machine Learning Engineering - League of Legends at Riot Games

Riot Games is hiring a Senior Manager, Machine Learning Engineering - League of Legends in Los Angeles, United States. Level rates it Builds AI ●●●●; you can [apply on Riot Games](https://jobsbylevel.com/go/bd2dc86d-f3e4-47bb-9c51-fd4cde020c19?utm_medium=ai-agent).

AI Level 4, AI centrality 88 out of 100. Los Angeles, USA.

## Details

- Company: [Riot Games](https://jobsbylevel.com/companies/riot-games)
- AI level: AI Level 4 (score 88 out of 100)
- Location: Los Angeles, USA
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/bd2dc86d-f3e4-47bb-9c51-fd4cde020c19?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-manager-machine-learning-engineering-league-of-legends-at-riot-games-4793fc

## Prepare for this job

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## Description

As a Senior Manager, ML Engineering , you will lead the Machine Learning Engineering team responsible for building and operating machine learning systems that power League of Legends. This team delivers both player-facing ML experiences and developer-facing ML tools, enabling in-game and around-game capabilities such as recommendations, player behavior modeling, matchmaking, and experimentation-driven personalization. In this role, you will be accountable for the technical vision, execution, and business impact of ML applications in League of Legends. You will shape the end-to-end ML engineering strategy, from data and feature pipelines to model development, deployment, evaluation, and operations, ensuring systems are scalable, reliable, and measurable in production. You will partner with development themes’ product and production leaders to enable the development of League of Legends existing and future player experiences. You will report to the Data Engineering Director of League Insights. This role is based out of our Los Angeles Headquarters. Responsibilities: Manage a team of highly skilled engineers, driving performance, developing future leaders, identifying growth opportunities, and ensuring strong delivery and outcomes. Define, own, and socialize an engineering vision for the organization, working with cross-functional and engineering leaders to create a long-term organizational and staffing plan aligned with technical and product goals. Contribute to all parts of team leadership, including budgeting, recruiting, hiring, mentoring, performance management, and managing contingent staff. Set direction for MLOps efforts across the ML product lifecycle, continuously improving model quality, efficiency, reliability, and operational excellence. Collaborate closely with cross-functional partners across LoL PC, including product management and technical production, to deliver scalable, reliable, and high-impact ML-powered solutions. Foster effective communication and collaboration within engineering teams, central MLE groups, and across other LoL PC departments. Build stronger cross-Riot MLE craft support and contribute towards ongoing improvements to craft standards. Stay current with industry trends and emerging technologies in applied ML and MLOps, guiding pragmatic adoption of best practices that improve product quality and player impact. Continue to hone your individual skills so you can deliver projects in a Player-Coach dynamic. Required Qualifications: Bachelor’s degree in Computer Science or a related field, or equivalent experience. 10+ years of experience building and operating large-scale software systems, with significant experience in production ML systems. Strong expertise in computer science fundamentals, including system design, data structures, and algorithms. Experience with Java, C++, Python, or similar languages in large-scale, production environments. Deep knowledge of MLOps 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. Desired Qualifications: 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. For this role, you will find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could

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