Lead AI Scientist - Autonomous Gaming Agents

Razer; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Razer is seeking a Senior AI Lead to drive intelligent autonomous systems for gaming across multiple engines. You will mentor a team, define roadmaps, and advance reinforcement learning, imitation learning, and planning.

Collaboration with AI engineers, game developers, and software engineers will be essential to deliver scalable, production-ready agents. The role emphasizes robust evaluation, cross-team communication, and staying ahead in multi-agent and adaptive decision-making research for

Qualifications

• Master's or PhD in CS/AI with 3+ years applied RL or agent-based AI leadership.
• Proven ability to mentor teams and deliver production-grade autonomous systems.
• Strong Python, C++ and software engineering fundamentals for scalable systems.

Responsibilities

• 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 across multiple engines and genres.
• Drive RL, imitation learning, planning, and hybrid approaches as needed.
• Ensure robust, generalizable, and scalable agent solutions across game mechanics.
• Establish evaluation frameworks and success metrics for autonomy and real-world performance.
• Collaborate with engineering to deploy, integrate, and scale agents into production pipelines.
• Promote experiment tracking, reproducibility, and large-scale training workflows.
• Communicate progress and long-term AI strategy to cross-functional stakeholders.
• Stay updated with multi-agent learning and adaptive decision-making advancements.

Skills

Python

C++

Reinforcement learning

Agent-based modeling

OpenAI Gym

Distributed systems

Communication

Education

Master's or PhD in CS/AI

Tools

Unity

Unreal Engine

RabbitMQ

gRPC

REST APIs

Job description

Razer is seeking a Senior AI Lead to drive intelligent autonomous systems for gaming across multiple engines. You will mentor a team, define roadmaps, and advance reinforcement learning, imitation learning, and planning.

Collaboration with AI engineers, game developers, and software engineers will be essential to deliver scalable, production-ready agents. The role emphasizes robust evaluation, cross-team communication, and staying ahead in multi-agent and adaptive decision-making research for