Principal Machine Learning Engineer - League of Legends

Required

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 10+ years of professional software engineering experience, including 5+ years building production ML platforms, systems, or MLOps capabilities.
• 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.
• Experience building ML platforms that serve multiple products or game titles simultaneously is a plus.
• 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!