TL;DR
Principal Machine Learning Engineer (AI): Developing and leading AI bot modeling strategies for League of Legends, focusing on training agents that understand game state and create engaging player experiences. With an accent on reinforcement learning, imitation learning, and integrating ML-driven agents into live game environments. Focus on designing evaluation frameworks, ensuring AI safety and fairness, and collaborating with game engineers and UX teams.
Location: Los Angeles, USA (onsite)
Salary: $229,200 - $319,500 USD + incentives + equity + benefits
Company
hirify.global is a leading game development company focused on creating player-first gaming experiences, including the globally popular League of Legends.
What you will do
- Lead AI bot modeling strategy for League of Legends across multiple game modes and skill levels.
- Develop predictive features from gameplay telemetry and simulation data.
- Design and implement ML systems using reinforcement and imitation learning methods.
- Define evaluation frameworks balancing general and game-specific metrics.
- Ensure safety, fairness, and trustworthiness of autonomous agents in live environments.
- Collaborate with game engineers, UX designers, and analysts to deploy and optimize models.
Requirements
- Location: Must be based in Los Angeles, USA.
- 8+ years experience delivering ML systems in production, including reinforcement and imitation learning.
- Proven ability to design modeling strategies adopted across multiple games or interactive products.
- Experience with gameplay telemetry, simulation data, and feature engineering.
- Hands-on expertise with relevant ML methods and experiment design.
- Familiarity with integrating ML agents into live game environments and game engineering/C++ is a plus.
Culture & Benefits
- Open paid time off policy and flexible work schedules.
- Medical, dental, vision, and life insurance coverage.
- Parental leave for employees and their families.
- 401k plan with company match.
- Focus on work/life balance and collaborative team environment.
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