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지역: Kirkland, Washington, United States of America 
  • 장소: Vancouver
  • 시/도:
  • 국가: Canada

  • 장소: Austin
  • 시/도:
  • 국가: United States of America

  • 장소: Edmonton
  • 시/도:
  • 국가: Canada

  • 장소: Los Angeles - Chatsworth
  • 시/도:
  • 국가: United States of America

  • 장소: Orlando
  • 시/도:
  • 국가: United States of America

  • 장소: Redwood City
  • 시/도:
  • 국가: United States of America

  • 장소: Seattle
  • 시/도:
  • 국가: United States of America

  • 장소: Toronto (Glu Mobile)
  • 시/도:
  • 국가: Canada


역할 ID
205806
근로자 유형
Regular Employee
스튜디오/부서
Other
유연근무제
Off Site

설명 및 참여 요건

당사는 크리에이터, 스토리텔러, 기술자, 경험 생산자, 혁신가 등으로 구성된 글로벌 팀입니다. 당사는 서비스를 제공하는 플레이어만큼이나 다양한 팀에서 놀라운 게임과 경험이 시작된다고 믿습니다. Electronic Arts에서 불가능은 없습니다.

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 Senior AI Data Scientist you will: 

  • Build, fine-tune and implement AI and machine learning models to solve challenging problems
  • Ensure AI and machine learning production pipelines are scalable, repeatable and cloud agnostic
  • 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 technique
  • Work in partnership with game teams to integrate AI solutions into products and services.
  • Optimize and fine-tune AI models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve AI models. 
  • Document and present findings and solutions to stakeholders. 

Desired qualifications and experience:

  • A minimum of 3+ years of experience in data science
  • PhD or MSc in statistics, mathematics, computer science, or related field
  • Strong expertise in deep learning, fluent in Python and SQL
  • Expertise in automating machine learning models and building end to end products
  • Experience with devops tools and principles (Git, CI/CD, Docker)
  • Effective within Cloud environments (GCP, AWS)
  • Understanding of containerization and orchestration technologies (Docker, Kubernetes, etc.)