General InformationLocations: Vancouver, British Columbia, Canada
Role ID 212041
Worker Type Regular Employee
Studio/Department EA Studios - SPORTS
Work Model Hybrid
Description & RequirementsOur Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with game teams, central art teams, and the Frostbite engine team; though the technologies developed can apply to many different engines, environments, and hardware platforms. You will work on our strategic, multi-year projects focused on content creation experiences, improved creation pipelines and runtime functionality, both internal and player facing, for all EA SPORTS titles.
We are seeking Machine Learning experts with a practical mindset, passionate about creating useful tools and innovative features, eager to see their work impact fellow developers and millions of gamers, who take responsibility for ideation through productization. Reporting to the Lead Development Director, the Machine Learning Engineer will join us in creating intuitive experiences powered by ML, pushing the boundaries of game fidelity and bringing our characters to life!
Your Responsibilities:
- Design and train ML and computer vision solutions for complex challenges in 2D and 3D including generative modeling and content generation.
- Implement and deliver production-ready ML systems that respect real-world game development constraints such as performance, tooling, and iteration speed.
- Create intuitive, easy-to-use ML powered workflows that reduce repetitive manual work while empowering creators to move faster and think bigger.
- Optimize production-ready models and pipelines to improve training and inference efficiency while maintaining high output quality.
- Evaluate, extend, and improve both internal and external ML technologies, pushing them further for game-specific use cases.
- Work closely with content creators and software engineers to ensure tools are maintainable, effective, and genuinely enjoyable to use.
- Stay current with cutting-edge research in Machine Learning, continuously evaluating how new ideas can be applied to games.
Your Qualifications:
- A Bachelor's degree in Computer Science, Applied Math, Statistics, Machine Learning, or equivalent practical experience.
- Expert-level proficiency in Python, with deep hands-on experience writing clean, scalable, and high-performance code.
- Strong command of advanced language features such as generators, decorators, and context managers.
- A solid foundation in linear algebra, statistics, and mathematical optimization.
- 1-2+ years of hands-on Machine Learning experience, with a strong, practical, problem-solving mindset.
- The ability to take ideas from research papers to the working system, balancing innovation with usability and performance.
Pay Transparency - North AmericaCOMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES* British Columbia (depending on location e.g. Vancouver vs. Victoria) *$141,400 - $204,400 CAD
Pay is just one part of the overall compensation at EA.
For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.
