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Informații generale

Locații: Vancouver, British Columbia, Canada 
  • Locație: Vancouver
  • Stat:
  • Țară: Canada

  • Locație: Austin
  • Stat:
  • Țară: United States of America

  • Locație: Edmonton
  • Stat:
  • Țară: Canada

  • Locație: Los Angeles - Chatsworth
  • Stat:
  • Țară: United States of America

  • Locație: Orlando
  • Stat:
  • Țară: United States of America

  • Locație: Redwood City
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  • Țară: United States of America

  • Locație: Seattle
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  • Țară: United States of America

  • Locație: Toronto (Glu Mobile)
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  • Țară: Canada


ID rol
205803
Tip muncitor
Regular Employee
Studio/Departament
EA Studios - CAP Central
Aranjament flexibil de lucru
Off Site

Descriere și cerințe

Suntem o echipă globală de creatori, povestitori, tehnologi, inițiatori de experiențe, inovatori și multe altele. Credem că jocurile și experiențele uimitoare încep cu echipe la fel de diverse precum jucătorii și comunitățile pe care le deservim. La Electronic Arts, singura limită este imaginația dumneavoastră.

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