Lead Machine Learning Engineer

Virtuos; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Virtuos is seeking a Principal ML Engineer in Singapore who will take on high autonomy in driving AI systems for game development. The role involves ownership from experimental PoCs to production-scale deployment, integrating cutting-edge models into tooling for artists and developers. The ideal candidate should have experience in AI and machine learning within the gaming sector. Join Virtuos to drive innovation and creativity in game development.

Qualifications

• Experience in machine learning and AI, particularly in game development.
• Ability to work autonomously as an Individual Contributor.
• Familiarity with state-of-the-art models and tooling for artists and developers.

Responsibilities

• Drive AI systems for game development.
• Own the lifecycle from experimental PoCs to production-scale deployment.
• Integrate models into tooling while optimizing for production.

Job description

PLAY, GROW and WIN

To be a part of Virtuos means to be a creator.

At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004.

Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication.

At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together.

ABOUT THE POSITION

We are seeking a Principal ML Engineer who operates with high autonomy to drive our AI systems for game development. You will operate as an Individual Contributor (IC), owning the lifecycle from experimental PoCs to production-scale deployment.
This is an Applied AI role. You won't just be researching; you will integrate state-of-the-art models into tooling for artists and developers, balancing fine-tuning with inference optimization to solve real production bottlenecks.