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. We are seeking a Senior AI/ML Software Engineer with a focus on AI/Machine Learning to productionize AI and ML projects and solve real-world business challenges in game development. A successful candidate will primarily focus on building scalable, production-ready systems that enhance operational efficiency, automate workflows, and deliver measurable impact. Unlike research-focused roles, this position emphasizes implementation, integration, and iteration of ML models within existing software ecosystems. <h4>Required Qualifications:</h4><ul><li>Bachelors 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 <ul><li>OR equivalent experience. </li></ul></li><li>3 years’ experience as a Software Engineer </li><li>1+ year of experience integrating machine learning libraries or services into production ready systems. </li></ul><h4>Preferred Qualifications:</h4><ul><li>Previous work using generative AI techniques and open-source machine learning models.</li><li>Experience working in a cross-functional team including engineering, art and design.</li><li>A growth mindset and excellent problem-solving abilities. </li><li>Effective communication skills; ability to work closely with other high-caliber engineers and artists. </li></ul>#thecoalitionjobs #gamingjobs 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:<a href="https://careers.microsoft.com/v2/global/en/canada-pay-information.html" target="_blank">https://careers.microsoft.com/v2/global/en/canada-pay-information.html</a>  Microsoft will accept applications for the role until October 21, 2025.  Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the <a href="https://careers.microsoft.com/us/en/accommodationrequest" target="_blank">Accommodation request form</a>. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.<ul><li>Translate ML research and prototypes into robust, maintainable code that integrates with production systems. </li><li>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. </li><li>Deploy and maintain ML pipelines, including data engineering, feature engineering, evaluation, and monitoring. </li><li>Continuously evaluate and refine models to improve accuracy, efficiency, and scalability in production environments. </li><li>Ensure reproducibility and reliability through version control, unit/integration testing, and clear documentation. </li></ul>