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General Information

Locations: Montreal, Quebec, Canada 
Role ID
207968
Worker Type
Regular Employee
Studio/Department
EA Studios - SPORTS
Flexible Work Arrangement
Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

EA SPORTS revolutionizes the world of gaming by creating transformational change in how games are made and played.. At EA SPORTS, everyone contributes to creating the future of entertainment, building a community where creativity and new ideas grow.

The FC Gameplay Advanced Team makes meaningful innovations in team strategy, AI, player animation, and player interactions that create exciting back of the box features for the EA Sports FC franchise. We work with creative designers, artists, and developers to deliver big ideas that matter to the millions of players who enjoy the biggest sports video game in the world.

As a Machine Learning Scientist, you will realise the team's research roadmap by combining the latest research inside and outside of EA and applying it to video games. We are looking for an expert that oversees the system designs and ML techniques used across our several ongoing and legacy ML projects inside our franchise. You will work with ML and traditional SEs, and animators to achieve technical growth and help sculpt a technology roadmap that meets our production needs. You will report to the Technical Director of Research and Innovation.

Your Responsibilities:

  • Contribute to the ML research strategy to create new player experiences, exploring frontier technologies to shape the future of the FC Franchise
    • Work with the development team to support experiments with tooling and systems, and data acquisition and management
    • Share your results through presentations, papers, prototypes and compelling interactive demonstrations
    • Stay up to date with the latest advancements in relevant technologies and propose impactful projects to drive innovation
    • Collaborate with a range of team members including production, design, and artists.

Your Qualifications:

  • PhD or Masters with research experience in Computer Science, mathematics or related fields.
  • 3+ years of experience with machine learning and familiarity with multiple ML techniques such as transformer models and diffusion models
  • Python programming experience with ML frameworks like PyTorch or TensorFlow
  • Technical background, experience working with both research development, and experience going from idea to implementation
  • Experience turning new ideas into implementations

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). 

PAY 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.



About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
LinkedInID
74884070