Electronic Arts

EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

Our 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:

• Stay up to date with research in the field of Machine Learning.
• Propose and develop novel Machine Learning-based solutions to solve problems in character animation, agent behavior, physics, and content generation.
• Design and implement Machine Learning solutions that consider game development requirements:
• Provide easy-to-use workflows to assist users by minimizing repetitive human intervention and empower user creativity.
• Empower users with creative control over model behavior and streamline the process of iteration and debugging.
• Optimize models and code to minimize training and inference time.
• Improve upon existing internal and external Machine Learning technologies
• Collaborate with content creators and other software engineers to ensure that our tools are maintainable, effective, and easy to use.

Your Qualifications:

• Bachelor's degree in computer science, applied math, statistics, machine learning or equivalent.
• Expert-level proficiency in Python software development:
• Advanced features like generators, decorators, and context managers.
• Experience writing efficient, maintainable, and scalable Python code.
• Knowledge of linear algebra, statistics, and mathematical optimization techniques.
• Knowledge of Machine Learning: At least 1-2 years of experience in the field with a demonstrated practical approach to problem solving.

COMPENSATION 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). BASE SALARY RANGES

• British Columbia (depending on location e.g. Vancouver vs. Victoria)
  • $133,400 - $193,200 CAD

In British Columbia, 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.