Manager Blue Triton Jobs (NOW HIRING)

Job Summary:
Riot Games is building the next generation of its ML Platform to support AI and machine learning systems across game development, player experiences, and internal tools. As a Staff Machine Learning Engineer, you will design and scale the infrastructure powering a wide range of ML workloads and evolving AI systems, while applying modern MLOps practices to enhance reliability and developer experience.
Responsibilities:
• 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
• Collaborate 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:
Required:
• 6+ years of experience in engineering, with time spent on ML/AI, platform or infrastructure teams
• Experience operating inference platforms such as KServe and production ML infrastructure including Feast, Milvus, or similar open-source systems
• Experience with one or more inference serving frameworks, including NVIDIA Triton/Dynamo, TorchServe, or similar systems
• Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling
• Experience with CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management
• Experience building and operating services within distributed or service-oriented architectures
Preferred:
• Experience building ML infrastructure within a real-time, or latency-sensitive environment
• Hands-on experience with optimizing ML & AI deployments (LLMs, diffusion models, etc.) for throughput, latency and reliability
• Familiarity with agentic workflows and orchestration frameworks for LLM-based systems
• Passion for player experience, game systems, or creative technology development
Company:
Riot Games is a global company that develops online games. Founded in 2006, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.