Staff Machine Learning Engineer - League of Legends

about 4 hours ago

H1B Sponsor

Responsibilities

Own end-to-end ML solutions for player-facing problems across personalization, game systems, and matchmaking.
Set technical direction for a League ML domain and create reusable modeling patterns.
Build models and decision logic to enhance player experiences.
Develop ML approaches to improve in-game systems and matchmaking quality.
Partner with product managers, designers, and engineers to shape technical plans.
Translate gameplay and product telemetry into reliable signals.
Design and run experiments to evaluate model quality and player impact.
Integrate models into League systems and services with game engineers.
Contribute to the ML engineering community through peer reviews and documentation.
Establish monitoring and support practices for live ML systems.

Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related field.
6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles.
Evidence of modeling choices adopted beyond immediate teams.
Experience with complex data sources where standard feature engineering doesn't apply.
Comfort with ambiguity and shipping in unclear success metrics.
Track record of mentoring engineers and raising the bar for peers.
Excellent written and verbal communication skills.
Background in reinforcement learning or generative models is a plus.
Experience bridging research and production is a plus.
Familiarity with ML platform components is a plus.