// Open Role at Riot Games
Lead the Machine Learning Engineering team for League of Legends, shaping the technical vision and delivering scalable ML systems for player-facing experiences and developer tools. Drive MLOps strategy, foster collaboration, and innovate in applied ML.
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.
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 be your role!
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 (https://www.riotgames.com/en/work-with-us/overview) for more information.
At Riot Games, we put players first (https://www.riotgames.com/en/who-we-are/values). That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
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.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
- Bachelor’s degree in Computer Science or related field, or equivalent experience. - 10+ years 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.