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Informazioni generali

Località: Vancouver, British Columbia, Canada 
  • Sede: Vancouver
  • Stato:
  • Paese: Canada

  • Sede: Austin
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  • Paese: United States of America

  • Sede: Edmonton
  • Stato:
  • Paese: Canada

  • Sede: Los Angeles - Chatsworth
  • Stato:
  • Paese: United States of America

  • Sede: Orlando
  • Stato:
  • Paese: United States of America

  • Sede: Redwood City
  • Stato:
  • Paese: United States of America

  • Sede: Seattle
  • Stato:
  • Paese: United States of America

  • Sede: Toronto (Glu Mobile)
  • Stato:
  • Paese: Canada


ID del ruolo
205803
Tipo di dipendente
Regular Employee
Studio/Reparto
EA Studios - CAP Central
Modalità di lavoro flessibile
Off Site

Descrizione e requisiti

Siamo un team globale di creatori, narratori, tecnologi, creatori di esperienze, innovatori e molto altro ancora. Crediamo che giochi ed esperienze straordinarie partano da squadre tanto diverse quanto i giocatori e le community per cui lavoriamo. A Electronic Arts, l'unico limite è la tua immaginazione.

Empowering players to create is an exciting future for the gaming industry.  At Electronic Arts we have many examples of players creating content, whether it be a skateboard park in Skate or fantastical mansions in the Sims 4. The future definitely has our players being more empowered to create with their imagination being the only limit.

We are looking for a Data Scientist to help shape the future of content creation and gameplay with AI. If you have the right expertise and are interested we want to hear from you!

As a Data Scientist you will

  • Apply current and emerging techniques in deep learning, natural language processing and other machine learning areas.
  • Collect, clean, manage, analyze and visualize large sets of data using multiple data platforms, tools and techniques.
  • Work in partnership with game teams to integrate AI solutions into products and services. 
  • Optimize and fine-tune AI models for performance and scalability.

 

Required qualifications and experience

  • Graduate degree in statistics, mathematics, computer science, or related field
  • Expertise in deep learning and fluency with machine learning frameworks and libraries (e.g. Scikit-Learn, PyTorch)
  • Fluent in Python and good knowledge of SQL
  • Exposure to Cloud environments (e.g. GCP, AWS, or Azure)
  • Exposure to devops tools and principles (Git, CI/CD, Docker)
  • Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment 
  • Strong communication skills, both written and verbal