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Información general

Ubicaciones: Vancouver, British Columbia, Canada 
  • Lugar: Vancouver
  • Estado:
  • País: Canada

  • Lugar: Austin
  • Estado:
  • País: United States of America

  • Lugar: Edmonton
  • Estado:
  • País: Canada

  • Lugar: Los Angeles - Chatsworth
  • Estado:
  • País: United States of America

  • Lugar: Orlando
  • Estado:
  • País: United States of America

  • Lugar: Redwood City
  • Estado:
  • País: United States of America

  • Lugar: Seattle
  • Estado:
  • País: United States of America

  • Lugar: Toronto (Glu Mobile)
  • Estado:
  • País: Canada


ID del rol
205803
Tipo de trabajador
Regular Employee
Estudio/Departamento
EA Studios - CAP Central
Acuerdo de trabajo flexible
Off Site

Descripción y requisitos

Somos un equipo global de personas centradas en la creación, la narrativa, la tecnología, el desarrollo de experiencias, la innovación y mucho más. Creemos que los juegos y las experiencias increíbles empiezan con equipos tan diversos como el público y las comunidades a las que servimos. En Electronic Arts, el único límite es tu imaginación.

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