Senior Manager, Machine Learning Engineering - League of Legends
Riot Games · Los Angeles, USA
About this role
**Senior Manager, Machine Learning Engineering — League of Legends** 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’ll be accountable for the **technical vision**, **execution**, and **business impact** of ML applications in League of Legends. You’ll 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’ll partner with product and production leaders to enable League of Legends’ existing and future player experiences. **Location:** 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; work with cross-functional and engineering leaders to create a long-term organizational and staffing plan aligned with technical and product goals. - Contribute to team leadership across 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 with cross-functional partners across **LoL PC** (including product management and technical production) to deliver scalable, reliable, 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 to ongoing improvements to craft standards. - Stay current with industry trends and emerging technologies in applied ML and MLOps; guide pragmatic adoption of best practices that improve product quality and player impact. - Continue honing your individual skills so you can deliver projects in a **Player-Coach** dynamic. --- ## Required Qualifications - Bachelor’s degree in Computer Science (or related) 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 (system design, data structures, algorithms). - Experience with **Java, C++, Python**, or similar languages in large-scale production environments. - Deep knowledge of **MLOps** best practices (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 related) or equivalent experience. - Familiarity with **Responsible AI** frameworks, fairness considerations, and long-term pla
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