Microsoft Senior AI/ML Software Engineer – Xbox Games Technology Group Coalition 

Taiwan, Taoyuan City 

672685194

Games continue to evolve and push the boundaries of entertainment as we know it. The bar to deliver world-class games continues to rise, driven by advantages in better hardware and software capabilities. Along with optimizing game development engines, developing infrastructure and workflows for efficient remote and hybrid development, brings new opportunities and engineering challenges that all studios are facing today. Solving these challenges is critical to enabling efficient hybrid teams as well as external globally distributed development partners who help scale during peak phases of development. At The Coalition Studio, through our work on the acclaimed Gears of War franchise, we are tackling these problems head-on by leading engine innovation, developing technical showcase technologies, and delivering world-class workflows, tools and features that are adopted across the wider Xbox Game Studios organization.

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 3 years’ experience as a Software Engineer
• 1+ year of experience integrating machine learning libraries or services into production ready systems.

• Previous work using generative AI techniques and open-source machine learning models.

• Experience working in a cross-functional team including engineering, art and design.

• A growth mindset and excellent problem-solving abilities.

• Effective communication skills; ability to work closely with other high-caliber engineers and artists.

Software Engineering IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.

Find additional pay information here:

Microsoft will accept applications for the role until September 8, 2025.

• Translate ML research and prototypes into robust, maintainable code that integrates with production systems.
• Work closely with product managers, designers, data scientists, machine learning engineers and software engineers to gather requirements, define success metrics, and deliver end-to-end solutions.
• Deploy and maintain ML pipelines, including data engineering, feature engineering, evaluation, and monitoring.
• Continuously evaluate and refine models to improve accuracy, efficiency, and scalability in production environments.
• Ensure reproducibility and reliability through version control, unit/integration testing, and clear documentation.