Hiring: Staff Machine Learning Engineer - Game Tech Group, ML Platform Company: Riot Games Location: Los Angeles, CA Job Posted Time: 2026-09-03 14:18:38 Target Skills & Keywords : CI/CD, Diffusion Models, LLM, MLOps, Machine Learning, Milvus, Terraform, Triton About the job Experience: •6+ years of experience in engineering, with time spent on ML/AI, platform or infrastructure teams Required Skills: •Design and operate AI & ML inference infrastructure, including deployment pipelines and CPU/GPU-aware orchestration •Develop CI/CD workflows that enable rapid iteration and safe promotion from development to production •Optimize infrastructure supporting varied model architectures, from foundation models to gradient boosted trees, for high throughput, low latency, and high availability •Establish and evolve ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and rollback strategies •Improve developer experience by reducing operational complexity and simplifying platform onboarding •Influence long-term platform architecture and help shape technical direction across Riot’s ML ecosystem •Partner cross-functionally with researchers and game teams to understand product needs and build reusable platform capabilities •Use modern AI-assisted development tools and workflows thoughtfully to accelerate iteration, while maintaining engineering quality and reliability Qualifications: •Operational familiarity with GPU orchestration, performance tuning, and cost-aware scheduling •Applied hands-on capability in optimizing ML & AI deployments for throughput, latency and reliability •Operational familiarity with agentic workflows and orchestration frameworks for LLM-based systems •Passion for player experience, game systems, or creative technology development •For this role, you'll 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!