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Informazioni generali

Località: Vancouver, British Columbia, Canada 
ID del ruolo
212019
Tipo di dipendente
Regular Employee
Studio/Reparto
EA Studios - SPORTS
Modalità di lavoro flessibile
Hybrid

Descrizione e requisiti

Electronic Arts crea esperienze di intrattenimento di livello superiore che ispirano giocatori e fan in tutto il mondo. Qui, tutti fanno parte della storia. Parte di una comunità che si connette in tutto il mondo. Un luogo dove la creatività prospera, vengono stimolate nuove prospettive e le idee contano. Una squadra in cui tutti possono giocare.

EA SPORTS revolutionizes the world of gaming by creating transformational changes 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 excel.

The EA SPORTS Catalyst Research and Innovation Team is dedicated to pioneering research that propels the gaming industry forward. We aim to invent new kinds of gaming experiences by leveraging recent advances in technology and exploring new paradigms in game development. We focus on forward-looking experimentation and harness the latest technology to uncover what makes games fun for humans.

As a Senior Machine Learning Engineer, reporting to the Head of Research and Innovation, you will build the framework and tools necessary to drive our research strategy and innovation roadmap. You will work closely alongside our researchers to develop cutting edge models, streamline their research and bring our innovations to life. Your mission is to redefine what is possible in gameplay by taking our team’s research from concept to reality; empowering experimentation, scaling up new discoveries, and contributing to a strategy that brings the future of gaming to life at EA SPORTS.

Your Responsibilities


  • Own and drive the technical strategy behind our research roadmap, exploring frontier technologies that will shape the future of Sports Gaming and interactive entertainment.

  • Partner deeply with research teams to design, run, and iterate on experiments—hands-on, from implementing machine learning models to building advanced training pipelines.

  • Lead efforts in large-scale training, inference optimization, and fine-tuning, pushing both model performance and production efficiency.

  • Design and build research platforms, tooling, and data systems that dramatically increase research velocity, including data acquisition, curation, and experimentation workflows.

  • Translate research breakthroughs into prototypes and compelling interactive demos that clearly communicate value and accelerate adoption by game teams.

  • Stay ahead of the curve on cutting-edge ML technologies—including diffusion models, generative techniques, and emerging AI frameworks—and propose ambitious, high-impact research initiatives.

  • Work directly with game teams to understand real production challenges, then craft scalable strategies for integrating research into live and future titles.

  • Collaborate across engineering, research, and game development to align efforts and accelerate innovation across the entire portfolio.

Your Qualifications


  • A Master’s degree or PhD in Computer Science, Mathematics, or a related technical field, or equivalent advanced industry experience.

  • 5+ years of hands-on experience developing, training, and optimizing machine learning models in real-world systems.

  • A strong technical foundation with a proven ability to bridge research and engineering, turning ideas into shipped capabilities.

  • Deep, practical experience implementing ML models, including training at scale, inference optimization, and fine-tuning workflows.

  • Familiarity with diffusion models or other state-of-the-art generative approaches.

  • A demonstrated track record of turning novel research ideas into robust, impactful implementations that move projects forward.

  • Experience with modern AI/ML frameworks, platforms, and tooling, and a strong intuition for how ML can enhance games or interactive systems.



Su Electronic Arts
Siamo orgogliosi di avere un ampio catalogo di giochi ed esperienze, sedi in tutto il mondo e opportunità in tutta EA. Diamo valore a adattabilità, resilienza, creatività e curiosità. Dalla leadership che esalta il tuo potenziale alla creazione di spazi per l'apprendimento e la sperimentazione, ti incoraggiamo a fare grandi lavori e a perseguire le opportunità di crescita.

Adottiamo un approccio olistico per i nostri programmi di benefit, enfatizzando il benessere fisico, emotivo, finanziario, lavorativo e collettivo a sostegno di una vita equilibrata. I nostri pacchetti sono pensati per soddisfare le esigenze locali e possono includere copertura sanitaria, assistenza per la salute mentale, risparmi per la pensione, permessi retribuiti, congedi familiari, giochi gratuiti e altro ancora. Creiamo ambienti in cui i nostri team possono sempre dare il meglio in ciò che fanno.

Electronic Arts è un datore di lavoro che rispetta le pari opportunità. Tutte le decisioni di impiego sono prese senza tenere conto di razza, colore, origine nazionale, discendenza, sesso, genere, identità o espressione di genere, orientamento sessuale, età, informazioni genetiche, religione, disabilità, condizione medica, gravidanza, stato civile, stato familiare, stato di veterano, o qualsiasi altra caratteristica protetta dalla legge. In conformità con le leggi vigenti, prendiamo in considerazione anche i candidati qualificati con precedenti penali. EA rende inoltre disponibili strutture lavorative per persone qualificate con disabilità, come richiesto dalle leggi vigenti.