Senior ML Engineering Leader — Remote & MLOps

SportsTechJobs; Los Angeles (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Life Insurance

Parental Leave

401k with company match

Open PTO

Job summary

Riot Games in Los Angeles seeks a Senior Manager of ML Engineering to lead the team powering League of Legends. You will own the technical vision across data pipelines, model development, deployment, and operations, shaping scalable ML solutions for player experiences and developer tools.

You will manage cross-functional partners, guide MLOps practices, and drive delivery of high-impact ML-powered capabilities with a focus on reliability and measurable impact.

Qualifications

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 10+ years of experience building and operating large-scale software systems with production ML experience.
• Strong CS fundamentals: design, data structures, and algorithms.
• Experience with Java, C++, Python in large-scale production environments.
• Deep knowledge of MLOps: model lifecycle, monitoring, and deployment at scale.
• Experience collaborating across teams and guiding investment strategies.

Responsibilities

• Lead a team of engineers, drive performance and develop future leaders.
• Define and socialize an engineering vision aligned with product goals.
• Oversee budgeting, recruiting, mentoring, and performance management.
• Set direction for MLOps across the ML product lifecycle.

Skills

Java

C++

Python

System Design

Algorithms

Data Structures

MLOps

Education

Bachelor’s degree in Computer Science or related field

Master’s degree (desired)

Tools

Large-Scale Production Environments

Job description

Riot Games in Los Angeles seeks a Senior Manager of ML Engineering to lead the team powering League of Legends. You will own the technical vision across data pipelines, model development, deployment, and operations, shaping scalable ML solutions for player experiences and developer tools.

You will manage cross-functional partners, guide MLOps practices, and drive delivery of high-impact ML-powered capabilities with a focus on reliability and measurable impact.