Description & RequirementsEA's Character Animation Research Team (known as the A-Team) is a small team based in Vancouver, British Columbia, committed to advancing the field of Character Animation in games. Our vision is video-game characters with interesting and believable motion that also provides the speed and responsiveness that make our games exciting. Our technology is shared across multiple games in EA including FC, Madden, NHL, skate. TM, Battlefront, Dragon Age and more.
We are looking for Machine Learning experts with a practical mindset, passionate about creating useful tools and innovative features, eager to see their work impact animators, fellow developers, and millions of gamers, and want to own projects from ideation through productization and successful adoption. Working closely with and reporting to a Senior Machine Learning Engineer, 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:
- Invent and build ML-driven solutions for complex problems in character animation, agent behavior, physics simulation, and content generation .
- Design and implement production-ready ML systems that respect real-world game development constraints such as performance, tooling, and iteration speed.
- Create intuitive, easy-to-use workflows that reduce repetitive manual work while empowering creators to move faster and think bigger.
- Give users meaningful creative control over model behavior, making experimentation, iteration, and debugging fast and approachable.
- Optimize models and pipelines to minimize training and inference time without sacrificing quality.
- Stay current with cutting-edge research in Machine Learning , continuously evaluating how new ideas can be applied to games.
- 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 .
Your Qualifications:
Please note that you do not need to meet all qualifications to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered.
- 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, including ML frameworks like PyTorch or TensorFlow.
- Experience productizing ML solutions , either as standalone applications or production services.
- A solid foundation in linear algebra, statistics, 3D transformations, and mathematical optimization .
- 3-5 years of hands-on Machine Learning experience , with a strong, practical, problem-solving mindset.
- The ability to take ideas from research papers to working systems , balancing innovation with usability and performance.
- Experience handling large-scale datasets (GBs-TBs).
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) *$122,300 - $170,700 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 equity.
Post To
External careers site, Internal careers site
LinkedInID
74884070
