Lead Machine Learning Engineer

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 looking for an experienced and hands-on Lead Machine Learning Engineer to head the machine learning engineering behind our AI developer tools. In this role you will set the technical direction for our machine-learning systems, build and ship production AI features end to end, and lead and mentor a team of Machine Learning programmers. 

You will join the team advancing AI-assisted coding and agentic approaches across Virtuos — creating AI agents and solutions that make our developers more productive — alongside our work, to a smaller degree, on real-time AI, game AI, and quality-engineering agents. 

This is a global Virtuos role. Being based in our Kuala Lumpur office is a plus but not required. On-site presence is expected at the start, and a hybrid arrangement (three days in the office, two days from home) can be agreed after an initial on-site period. A fully remote arrangement is not offered for this role. We're happy to discuss individual circumstances and reasonable accommodations within this arrangement.

• Set and own the technical direction for the team's machine-learning systems and models. 
• Architect, build and ship machine-learning and generative-AI features end to end — from data and training through evaluation, deployment and monitoring. 
• Lead, mentor and grow a team of ML programmers, and define ML coding standards and best practices. 
• Own model quality: define evaluation metrics and guardrails and drive a continuous-improvement process. 
• Partner with producers, game teams and stakeholders to translate needs into robust machine-learning solutions. 
• Identify and manage technical risks, priorities and trade-offs across projects. 
• Drive applied research into emerging machine-learning and large-language-model techniques. 
• Support recruitment, onboarding and the technical development of the team.

• Deep, hands-on machine-learning and deep-learning expertise, with a track record of taking models to production. 
• Practical experience with large language models and generative AI, and with the modern machine learning toolchain. 
• Strong programming ability in Python and at least one systems language (for example C++ or C#). 
• Solid software-engineering fundamentals: architecture, performance, data structures and testing. 
• Game development experience, with an understanding of game engines, tools and production pipelines. 
• Proven technical leadership and mentoring, and the ability to write clear technical documentation. 
• Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics or a related field, or equivalent practical experience. 
• Excellent written and spoken English. 
• Around 8+ years of engineering experience, including leading teams or projects. 
• Hands-on experience with AI coding assistants such as Claude Code, Codex CLI, GitHub Copilot or equivalent (required).