Software Engineer, ML Platform - Game Tech Group

Riot Games is seeking a Software Engineer to help build and scale our next-generation ML Platform. In this role, you will be enabling productionized machine learning across all of Riot, at a global scale. You’ll be applying modern MLOps practices: streamlining deployment, simplifying operations, and creating reliable infrastructure that empowers data scientists, ML engineers, and product teams to deliver value quickly and confidently.

As a Software Engineer in Game Tech Group, you’ll design and implement systems for model deployment, monitoring, and lifecycle management. You’ll work with both GPU and CPU workloads, support live testing scenarios (A/B and shadow modes), and build tools for versioning and observability. Your contributions will make ML easier to adopt and operate across Riot, helping game and platform teams deliver high-impact machine learning solutions more efficiently.

Responsibilities:

• Implement and support ML inference infrastructure for real-time and batch serving, including deployment pipelines and CPU/GPU-aware orchestration.
• Collaborate with researchers and game teams to understand product needs and build generalizable, reusable solutions.
• Contribute to CI/CD workflows for ML artifacts, helping enable rapid iteration and safe promotion from development to production.
• Develop and maintain tooling for environment and dependency management (e.g., Conda/Poetry lock files, secure image builds) to ensure reproducible ML runtimes.
• Implement platform observability features such as monitoring, drift detection, resource utilization, and latency tracking.
• Support ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and safe rollback strategies.
• Be thoughtful on developer UX and incorporate an iterative approach to improving.
• Collaborate on long-term platform architecture, providing input into design decisions and contributing to team discussions.
• Contribute upstream to shared infra initiatives and build a feedback loops and collaboration models with other Riot platform teams

Required Qualifications:

• 2+ years of experience in software engineering, with time spent on ML/AI, platform or infrastructure teams.
  
• Experience with cloud-native systems (e.g., Kubernetes, containers, autoscaling, observability).
• Experience with one or more inference serving frameworks (e.g., NVIDIA Triton, KServe, TorchServe, BentoML, Seldon Core etc)
• Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling
• Exposure to CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management.
• Proficiency in Python and experience with package management tools (e.g., Conda, Poetry).

Desired Qualifications:

• Interest in MLOps and machine learning platforms, with a desire to grow technical depth in this space.
• Familiarity with ML workflow tools (MLFlow, DVC, LakeFS, etc) and drift monitoring strategies
  
• Exposure to AB testing and experimentation frameworks, especially in online model evaluation
  
• Familiarity with machine learning workflows (e.g., training, validation, deployment, monitoring) and experience working with data scientists.
• 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!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we