Manager, Intelligent Systems (AI)

TL;DR

Manager, Intelligent Systems (AI): Leading the development of intelligent autonomous systems and gameplay agents for game developers and players with an accent on reinforcement learning and agent-based modeling. Focus on building robust, scalable production-ready AI systems and establishing evaluation frameworks for autonomy and stability.

Location: Based in Singapore office

Company

Razer is a global company on a mission to revolutionize the way the world games, operating across five continents.

What you will do

• Lead and mentor a team developing intelligent gameplay agents and autonomous systems for in-house AI services.
• Define the technical roadmap for agent-based intelligence supporting multiple game engines and genres.
• Drive research and development in reinforcement learning, imitation learning, planning, and hybrid approaches.
• Establish evaluation frameworks and success metrics for autonomy, task success, and stability.
• Collaborate with engineering teams to integrate and scale intelligent agents into production pipelines.
• Communicate technical progress and long-term strategy to cross-functional stakeholders.

Requirements

• Proven experience leading or mentoring teams building autonomous agents or applied AI systems.
• Strong proficiency in Python and a Master’s or PhD in Computer Science, AI, Machine Learning, or a relevant field.
• Deep foundation in reinforcement learning methods (policy-based, value-based, actor-critic) and agent training workflows.
• Experience with simulation environments and game engines such as OpenAI Gym, Unity, or Unreal Engine.
• 3+ years of applied experience in RL or intelligent autonomous systems, including leadership responsibilities.
• Must be based in the Singapore office.

Nice to have

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

Culture & Benefits

• Opportunity to make a global impact within a gamer-centric company culture.
• Accelerated personal and professional growth opportunities.
• Collaborative environment working with a global team across 5 continents.
• Inclusive and respectful workplace committed to equal opportunity and diversity.