Senior Manager, Machine Learning Engineering - League of Legends

Riot Games; Los Angeles (CA); On-site; USD 292,000 - 438,000; Full time

Benefits offered by this job

Open PTO policy

Flexible work schedules

Medical, dental, and life insurance

401k with company match

Job summary

Riot Games in Los Angeles headquarters seeks a Senior Manager, ML Engineering to lead the Machine Learning Engineering team responsible for building and operating ML systems powering League of Legends. You will own the end-to-end ML lifecycle from data pipelines to deployment and operations, delivering player experiences and developer tools.

Based at our LA HQ, you will guide hiring, budgeting, and cross-functional collaboration with product and production leaders to deliver scalable, reliable,

Qualifications

• 10+ years building and operating large-scale software systems, including production ML.
• Strong fundamentals in system design, data structures, and algorithms.
• Experience with Java/C++/Python in large-scale production environments.

Responsibilities

• Lead a team of engineers to deliver high-impact ML-powered solutions.
• Define and socialize an engineering vision and staffing plan.
• Oversee budgeting, recruiting, mentoring, and performance management.
• Set direction for MLOps across the ML product lifecycle and improve reliability.

Skills

Big data systems

Production ML

Java/C++/Python

MLOps

Cross-team collaboration

Education

Bachelor's degree in Computer Science or related

Master's degree in Computer Science or related

Tools

TensorFlow

PyTorch

Kubernetes

Job 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.

Our Perks

• 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.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Duties

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

(Los Angeles Only) Base salary range between $292,300.00 - $437,900.00 USD + incentive compensation + equity + 401K with company match + medical, dental, vision, and life insurance + short and long-term disability + open PTO.