Hiring: Principal Machine Learning Engineer (Platform & Integrations)- League of Legends Company: Riot Games Location: Los Angeles, CA Job Posted Time: 2026-09-11 14:18:38 Target Skills & Keywords : Data Pipeline, Design System, Kubernetes, MLOps, Machine Learning, Systems Design About the job Experience: •10+ years of professional software engineering experience, including 5+ years building production ML platforms, systems, or MLOps capabilities. Required Skills: •As a Principal AI/ML Platform Engineer for League of Legends •The position reports to the Senior ML Engineering Manager within the League of Legends game team and is based out of our Los Angeles headquarters. •Lead AI/ML workflow and MLOps for League of Legends; set automation standards including auto-remediation and self-healing pipelines; drive implementation. •Lead AI/ML serving architecture that scales to production load for Riot’s player base; design systems requiring minimal operational intervention; drive implementation of proven serving architectures. •Lead ML feature platform in partnership with data engineering to scale feature development and processing; solve scale, latency, or reliability constraints in ML data pipelines. •Lead AI/ML developer experience that accelerates development; remove workflow bottlenecks and enable new capabilities. •Lead AI/ML governance in partnership with compliance experts to ensure regulatory adherence; drive implementation of proven frameworks. •Lead AI/ML platform security in partnership with security teams; drive implementation of proven privacy, security, and cryptography techniques for AI/ML. Qualifications: •Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. •Evidence that platforms or systems you’ve led have become load-bearing for multiple teams or products — adopted, depended on, and evolved beyond the original scope. •Deep operational intuition for ML systems at scale: you’ve lived through the failure modes (training-serving skew, silent degradation, cost spirals) and built the systems to prevent them. •Background in cloud-native orchestration and large-scale system design (Kubernetes, GPU scheduling, container orchestration) applied at global scale. •History of improving developer experience for ML practitioners in ways that measurably changed how fast or reliably they shipped. •Track record mentoring senior and staff-level engineers; evidence of elevating platform engineering judgment across an organization. •Track record solving novel scale, latency, or reliability constraints in ML data pipelines is a plus. •Background in ML governance, security, privacy-preserving techniques, or compliance at organizational scale is a plus. •Passion for player experience, games, or creative technology. •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! Compensation: •Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!