跳到内容

通用信息

地点:Vancouver, British Columbia, Canada 
  • 地点: Vancouver
  • 州:
  • 国家/地区: Canada


角色 ID
204293
工作人员类型
Intern - Temporary Employee
工作室/部门
EA Studios - Quality Verification
弹性工作安排
Hybrid

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。

EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

We’re looking for a Software Engineer Co-op to join our paid world-class internship experience. The start date for this opportunity is May 2025 (4-month term), you may be eligible for course credit depending on your institution. You will report to the Development Director.  For more information about our Next-Gen Program, visit https://www.ea.com/careers/interns-and-university-graduates

You will assist with our experimental Research and Development work within EA’s Sports Quality Verification Engineering organization. This work will focus on the Machine Learning domain and will be the foundation for our next generation of tools and solutions for driving effectiveness and efficiencies in our QV process. You will play an important role in this transformation.

Responsibilities

  • Gather use-case requirements from our partner teams and organizations.

  • Provide research into possible solutions, running experiments, providing proofs of concept, demonstrating your results, and providing recommendations.

  • Provide improvements to existing solution implementations.

  • Update existing Machine Learning models and enhance data sets.

  • Help productizing ML solutions and roll them out to our partners.

  • Provide documentation and gather feedback from our partners.

Qualifications

  • Working towards a Bachelor’s degree in Computer Science, Engineering, Software engineering or equivalent. Preferably, completed 3rd year of their program.

  • Experience with programing language such as C#, C++ or Python.

  • Have a good understanding of the interaction between software, hardware and network.

  • Have a general understanding for Machine Learning basics.

  • Have a good understanding of software development life cycle, practices and software engineering methodologies.

  • Stay informed about relevant technology trends and developments on new technologies, practices, and paradigms.

  • Have basic knowledge of technical writing.

We are only considering students who will be enrolled in an accredited degree program throughout this Co-op, slated to graduate no earlier than December 2025. You must be legally authorized to work in Canada on a full-time basis during the 4-month Co-op. Visa sponsorship is not available for this position. .