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通用信息

地点:Kirkland, Washington, United States of America 
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  • 地点: Seattle
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  • 地点: Toronto (Glu Mobile)
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角色 ID
205806
工作人员类型
Regular Employee
工作室/部门
EA Studios - CAP Central
弹性工作安排
Off Site

描述和要求

我们是一支全球化团队,由创作者、剧作家、技术专家、体验创作者和创新者等角色组成。我们相信,精彩的游戏与体验始于与玩家和社区同样多样化的团队。在 Electronic Arts,你的想象力是对你的唯一限制。

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.)