Principal Machine Learning Engineer (AI/Platform)- League of Legends

Responsibilities: Lead AI/ML workflow and MLOps, establishing automation, remediation, and self-healing pipelines. Design and lead scalable AI/ML serving architectures with minimal operator intervention. Oversee ML feature platform with data engineering to scale feature development and processing. Improve developer experience for ML practitioners to accelerate delivery. Lead AI/ML governance with compliance to ensure regulatory adherence. Lead ML platform security with privacy and cryptography techniques in collaboration with security teams. Set standards for ML pipelines, coordinating with data engineering on shared MLOps capabilities. Develop ML services and API standards across product integrations. Drive operational excellence, cost optimization, and incident management for ML systems. Advance observability and monitoring for ML systems across services. Steer tooling strategy for ML platforms and mentor senior engineers across products. Contribute to recruiting standards and interview materials.

Key requirements: 10+ years of professional software engineering experience with 5+ years building production ML platforms or MLOps. Evidence of platform/system leadership adopted by multiple teams or products. Deep operational intuition for ML systems at scale and known failure modes. Background in cloud-native orchestration and large-scale design (Kubernetes, GPU scheduling, container orchestration). Track record improving developer experience for ML practitioners with measurable impact. Experience mentoring senior staff and elevating platform engineering judgment.

Nice-to-have: ML platforms serving multiple products/games; solving scale/latency/reliability constraints; governance/security/privacy at scale. collaboration mentoring communication ML platforms / MLOps cloud-native orchestration Kubernetes