Riot Games
Staff ML Engineer, ML Platform - Game Tech Group
Los Angeles, California, USA · Staff+ · full-time
Sponsorship not specified$193k-$269kDetected 65 days ago
PythonVector DatabasesTerraformCI/CDMachine LearningMLOpsA/B TestingCollaboration
About the role
- As a Staff Software Engineer, you'll also dive into projects that focus on team cohesiveness and cross-team goals.
- In this role, you will be enabling productionized machine learning across all of Riot, at a global scale.
Responsibilities
- That mission drives every decision in our quest to create games and experiences that make it better to be a player.
- streamlining deployment, simplifying operations, and creating reliable infrastructure that empowers data scientists, ML engineers, and product teams to deliver value quickly and confidently.
- Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday.
Requirements
- Riot Engineers bring deep knowledge of specific technical areas but also value the chance to work in many broader domains.
Compensation
- $193k-$269k
Benefits
- 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.
- As a Staff Machine Learning Engineer, you'll design and implement methods for model deployment, monitoring, and lifecycle management.
- Your contributions will make ML & AI easier to adopt and operate across Riot, helping game and platform teams deliver high-impact machine learning solutions more efficiently.
Company info
- At Riot Games, we put players first.
- Whether you're working directly on a new player-facing experience or you're supporting the company as a whole, everyone at Riot is part of our mission.
- If that sounds like the kind of place you want to work, we're looking forward to your application.
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This listing is sourced directly from Riot Games's careers page and normalized into a canonical job model.