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General Information

Locations: Vancouver, British Columbia, Canada 
  • Location: Redwood City
  • Country: United States of America

  • Location: Orlando
  • Country: United States of America


Role ID
207344
Worker Type
Regular Employee
Studio/Department
EA Studios - SPORTS
Flexible Work Arrangement
Hybrid

Description & Requirements

We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.

EA SPORTS is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played.. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.

The EA SPORTS Catalyst Research and Innovation Team is dedicated to pioneering research that propels the gaming industry forward. We aim to redefine the gaming experience by integrating innovative technologies and exploring new paradigms in game development. We focus on forward-looking experimentation and harness cutting-edge technology to uncover what makes games fun for humans.

As a Machine Learning Scientist, reporting to the Director of Machine Learning, you will realize the team's research roadmap by combining the latest research inside and outside of EA and applying it to video games. Your mission is to discover new technologies and interactive experiences that will redefine gameplay. You will identify research targets, define and drive your experimentation plan, implement and demonstrate new models, and contribute to a strategy that brings the future of gaming to life at EA Sports.

This role is open to remote candidates.

  • Your Responsibilities:
  • Contribute to the ML research strategy to create new player experiences, exploring frontier technologies to shape the future of Sports Gaming
  • Work closely with the engineering team to support experiments with tooling and platforms, as well as data acquisition and management
  • Share your results through presentations, papers, prototypes and compelling interactive demonstrations
  • Stay abreast of the latest advancements in relevant technologies and propose impactful projects to drive innovation
  • Collaborate with game teams to understand their design goals and build strategies to discover new engaging experiences
  • Collaborate with a diverse range of partners, including research, engineering, and game development teams
  • Your Qualifications:
  • Masters in Computer Science, mathematics or related field, with experience in research
  • Experience with machine learning and familiarity with multiple ML techniques such as transformer models and diffusion models
  • Technical background, experience working with both research engineering, and a proven track record of going from idea to implementation
  • Demonstrated success turning new ideas into effective implementations
  • British Columbia (depending on location e.g. Vancouver vs. Victoria)
    • $115,100 - $161,200 CAD
  • California (depending on location e.g. Los Angeles vs. Sacramento)
    • $140,700 - $204,700 USD

In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.

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.