Riotgames Senior Manager, Machine Learning Engineering leads the ML Engineering team building and operating ML systems for League of Legends. The role is accountable for technical vision, execution, and business impact of ML applications.
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.
Qualification
Experience with JavaDeep knowledge of MLOps best practicesExperience with project planningExperience leading full-stack teamsFor this roleRiot focuses on work/life balanceAt Riot Games
Required
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.
Preferred
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 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 for more information.
At Riot Games, we put players first. 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.
