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Informations générales

Sites : Vancouver, British Columbia, Canada 
ID du rôle
209394
Type de candidat
Intern - Temporary Employee
Studio/service
EA Studios - SPORTS
Organisation de travail flexible
Hybrid

Descriptions et critères

Electronic Arts crée des expériences de divertissement exceptionnelles qui inspirent les joueurs et les fans du monde entier. Ici, tout le monde fait partie de l’histoire. D'une grande communauté internationale. C'est un lieu où la créativité s’épanouit, où les nouvelles perspectives sont bienvenues et où les idées comptent. Une équipe dans laquelle chacun fait évoluer le jeu.

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.

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.

We are seeking a PhD candidate with strong Machine Learning skills and research experience in world models and/or generative AI. Our aim is to discover new technologies and interactive experiences that will redefine gameplay. This paid position reports to the Head of Research & Innovation. You will start September 2, 2025 for the duration of a 4 or 8-month term. You will be working in a hybrid work environment for 3 days per week from our EAV Studio in Burnaby.

Your Responsibilities

  • Conduct research on generative world models and their applications in video games.

  • Collaborate with researchers and game developers to brainstorm, discuss, and implement innovative solutions.

  • Design and implement cutting-edge machine learning algorithms by analyzing and refining ML techniques to enhance model performance.

  • Develop a proof of concept to demonstrate interactive experiences using world models.

  • Work with cross-functional teams to communicate research plans and progress.

  • Write reports and present research findings internally.

  • Explore opportunities to share your work through publications and open-source contributions.


Your Qualifications

  • You must be available for the entire duration of the work term with us.

  • You must return to school for at least one semester following your co-op experience with us.

  • Currently pursuing a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence or a related field.

  • Experience with programming languages like Python or C++.

  • Proficient in machine learning frameworks such as PyTorch or TensorFlow.

  • Skills in training machine learning models, including data collection, implementation, and evaluation.

  • Publications, presentations or related contributions in world models or generative AI.


We are only considering students who will be enrolled in an accredited degree program throughout this co-op, and returning to school for at least one semester following your work term at EA. You must be legally authorised to work in Canada on a full-time basis during the co-op term. Visa sponsorship and relocation are not available for this position.


BC COMPENSATION AND BENEFITS

The base salary ranges listed below are for the defined geographic market pay zones in these states. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location.

EA has listed the pay ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous  relevant business and candidate factors including, for example, degree type (e.g. Bachelor’s, Master’s, PhD), what stage you are in your degree journey (i.e. freshman, sophomore, etc.), qualifications, certifications, experience, skills, geographic location, and business or organizational needs.

BASE SALARY RANGES

    • British Columbia (depending on location e.g. Vancouver vs. Victoria):

      º 65,000 - $70,000 CAN Salary

The pay is just one part of the overall compensation at EA.  We also offer a package of benefits including 80 hours per year of sick time (prorated based on scheduled hours per week if less than full-time), 16 paid company holidays per year, medical insurance, and 401(k).

The hourly pay is just one part of the overall compensation at EA. We also offer a package of benefits including 80 hours per year of sick time (prorated based on scheduled hours per week if less than full-time), 16 paid company holidays per year, medical insurance, and 401(k).



À propos d'Electronic Arts
Nous sommes fiers de notre vaste catalogue de jeux et d’expériences, de nos sites à travers le monde et des multiples opportunités à saisir au sein d’EA. Nous valorisons l’adaptabilité, la résilience, la créativité et la curiosité. D'un management qui laisse s'exprimer tout votre potentiel à la création d’espaces dédiés à l’apprentissage et à l’expérimentation, nous vous offrons les conditions qui vous permettront de faire un travail fantastique et de profiter d'opportunités de progression.

Nous adoptons une approche holistique pour nos programmes d'avantages sociaux, en mettant l'accent sur le bien-être physique, émotionnel, financier, professionnel et communautaire qui favorise une vie équilibrée. Ces programmes sont conçus de façon à répondre aux besoins locaux et peuvent inclure une couverture médicale, un soutien au bien-être mental, de l'épargne pour votre retraite, des congés payés, des congés parentaux, des jeux gratuits et bien plus encore. Nous encourageons le développement d'environnements dans lesquels nos équipes peuvent donner le meilleur d’elles-mêmes.

Electronic Arts offre des opportunités d'emploi équitables. Toutes les décisions de recrutement sont prises sans prise en compte de la race, la couleur de peau, la nationalité, l’ascendance, le sexe, le genre, l'identité ou l'expression de genre, l’orientation sexuelle, l’âge, les informations génétiques, la religion, la situation de handicap, l'état de santé, la grossesse, le statut marital ou familial, le statut militaire ou toute autre caractéristique protégée par la loi. Nous étudierons également, conformément à la loi, les candidatures de personnes ayant un casier judiciaire. EA adapte ses lieux de travail pour les personnes en situation de handicap, conformément à la loi en vigueur.