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Riot Games

Staff Machine Learning Engineer (Applied Modeling) - League of Legends

Riot Games · Los Angeles, USA

Posted about 3 months ago

or apply directly on Riot Games's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Riot Games's roles stay open a median of 81 days
Reposted
No
Salary listed
No
3% of Riot Games's roles list one
Ghost-job risk at Riot Games
high
107 stale, 3 reposted of 107 open
Hiring momentum
225 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Riot Games's own greenhouse board since 2026-08-03. Full hiring picture for Riot Games.

About this role

As a Staff Machine Learning Engineer for League of Legends, you will develop and implement machine learning systems to enhance player experiences, including personalization and matchmaking. Your role involves collaborating with various teams to translate complex data into actionable insights, running experiments, and ensuring the integration of models into game systems. You will also contribute to the broader ML engineering community at Riot by sharing knowledge and establishing best practices.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Riot Games as an employer.

What you need

  • Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.
  • 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles.
  • Evidence that your modeling choices have been adopted beyond your immediate team.
  • History of working with complex or unconventional data sources.
  • Experience in production environments with interacting models or systems with downstream consequences.
  • Comfort with ambiguity and shipping in unclear situations.

Nice to have

  • Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments.
  • Experience bridging research and production.
  • Familiarity with ML platform components.
  • Experience building ML systems for games or player-facing products.
  • Experience with matchmaking, recommendations, or multi-objective optimization.

What you get

  • Open paid time off policy
  • Flexible work schedules
  • Medical, dental, and life insurance
  • Parental leave for you, your spouse/domestic partner, and children
  • 401k with company match

Worth weighing

  • No salary listed
  • Role involves significant collaboration across multiple teams
  • Expectations for independent execution in ambiguous situations

Summarised from Riot Games's posting. Read the full original.

Listed by Riot Games on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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