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Allmän information

Platser: Vancouver, British Columbia, Canada 
  • Plats: Vancouver
  • Status:
  • Land: Canada

  • Plats: Austin
  • Status:
  • Land: United States of America

  • Plats: Edmonton
  • Status:
  • Land: Canada

  • Plats: Los Angeles - Chatsworth
  • Status:
  • Land: United States of America

  • Plats: Orlando
  • Status:
  • Land: United States of America

  • Plats: Redwood City
  • Status:
  • Land: United States of America

  • Plats: Seattle
  • Status:
  • Land: United States of America

  • Plats: Toronto (Glu Mobile)
  • Status:
  • Land: Canada


Roll-ID
205803
Typ av arbetare
Regular Employee
Studio/avdelning
EA Studios - CAP Central
Flexibelt arbetsarrangemang
Off Site

Beskrivningar och krav

Vi är ett globalt team av skapare, historieberättare, teknikfantaster, upplevelsemakare, innovatörer och mycket mer. Vi anser att fantastiska spel och upplevelser börjar med ett lika skiftande team som de spelare och communities vi betjänar. På Electronic Arts är fantasin din enda begränsning.

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