ML Engineering Director

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

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,