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.
Machine Learning as a focus area has experienced significant growth over the past few years, and it has been exciting to see so many ways in which it can be applied to games development. The Coalition is looking to hire a Senior Machine Learning Engineer to join the team responsible for exploring these areas of research and directly applying them to impact our game development process. We directly support the team by finding ways to improve developer efficiency, allowing our game designers, animators and engineers to focus on what they do best. Some areas we are exploring are generative animations, automated testing using reinforcement learning agents, and multi-modal language models. This candidate can wear many hats and is comfortable diving into different technology stacks, including languages like Python, C#, C++, and Rust.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with Python AND at least one statically type language like Java/C#/C++ or Rust
- OR equivalent experience.
- 3+ years experience as a Machine Learning engineer.
Preferred Qualifications:
- Experience working in a cross-functional team.
- A growth mindset and highly capable problem-solving abilities.
- Effective communicator; 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 $108,100 - CAD $199,700 per year.
Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html
Microsoft will accept applications for the role until November 20, 2024.
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 Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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- Apply machine learning to tools and processes to help developers and artists make games more efficiently.
- Lead and architect machine learning projects with a focus on applied research and delivering impactful solutions to our customers.
- Mentoring and coaching team members earlier in their career.
- Work closely with various disciplines, including artists, designers and other engineers, to gather requirements, deliver and iterate on features for our customers.
- Keep up to date with the latest research in machine learning.
- Embody our Culture & Values
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