Назад
16 дней назад

Manager, Intelligent AI Systems (Gaming AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, Intelligent AI Systems (Gaming AI): Leading the development of scalable gameplay agents and autonomous systems for game developers and players with an accent on reinforcement learning, agent-based modeling, and adaptive in-game behavior. Focus on defining agent intelligence roadmaps, scaling training and evaluation workflows, and integrating robust multi-agent systems into production gaming environments.

Location: Singapore office; occasional travel of up to one trip per year for conferences, research collaborations, or business meetings.

Company

Razer develops gamer-focused products and services through a global organization operating across five continents.

What you will do

  • Lead and mentor a team developing gameplay agents and autonomous systems for in-house AI services.
  • Define the technical roadmap for agent-based intelligence across multiple game engines, genres, and gameplay objectives.
  • Drive research and development in reinforcement learning, imitation learning, planning, and hybrid autonomy approaches.
  • Build robust, generalizable, and scalable agents that adapt to diverse game mechanics and player behaviors.
  • Establish evaluation frameworks and metrics for autonomy, task success, stability, and real-world performance.
  • Collaborate with AI, game development, and software engineering teams to deploy and scale intelligent agents in production pipelines.

Requirements

  • Proven experience leading or mentoring teams building autonomous agents or applied AI systems.
  • Strong proficiency in Python; experience with C++ or Rust is beneficial.
  • Strong foundation in policy-based, value-based, and actor-critic reinforcement learning methods and agent training workflows.
  • Familiarity with simulation environments and game engines such as OpenAI Gym, Unity, or Unreal Engine.
  • Experience scaling experimentation, training pipelines, and evaluation processes for agent-based systems.
  • Master’s or PhD in Computer Science, AI, Machine Learning, or a related field, plus 3+ years of applied experience in reinforcement learning, agent-based AI, or intelligent autonomous systems.

Nice to have

  • Experience with multi-agent systems, self-play, adversarial training, or population-based methods.
  • Exposure to imitation learning, offline reinforcement learning, planning-based agents, or hybrid autonomy.
  • Experience integrating agent services through APIs, RabbitMQ, gRPC, or REST-based microservices.
  • Background in gaming AI, robotics, simulation, or control systems.

Culture & Benefits

  • Opportunity to contribute to products and intelligent systems used in the global gaming industry.
  • Collaboration with a global team across five continents.
  • Inclusive and respectful workplace committed to equal opportunity and reasonable accommodations.
  • Work includes occasional international travel for conferences, research collaborations, or business meetings.

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