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通用信息

地点：Montreal, Quebec, Canada 
  • 地点: Montreal
  • 州:
  • 国家/地区: Canada

  • 地点: Vancouver
  • 州:
  • 国家/地区: Canada


角色 ID
207843
工作人员类型
Intern - Temporary Employee
工作室/部门
CTO - Data & Analytics
弹性工作安排
Hybrid

描述和要求

Electronic Arts 打造更高层次的娱乐体验，激励世界各地的玩家和粉丝。在这里，每个人都是故事的主角。活跃社群，畅联全球。这里充满创造力，鼓励新观点，注重好创意。这是一支人人都能让游戏成为现实的团队。

Electronic Arts is looking for students to join our world-class internship experience. Summer 2024 will be better than ever as we bring all interns together on-site for orientation week and prep students for the future ways of work by offering remote and hybrid opportunities depending on your location. For more information about our Next-Gen Program, visit https://www.ea.com/careers/interns-and-university-graduates

We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.


EA serves millions of players with multi-genre online experiences with Live Services. Games of the last decade continue to entertain and engage audiences with new titles launching each year. The common need across all game experiences is modern personalization approaches that improve player experiences, using the latest Machine Learning technologies to retrofit and enhance game features, game systems, and game mechanics. We are looking for a Machine Learning engineer who will work amidst unique technologies to deliver in-game Personalization by building global-scale production systems. You will report to the technical director of AI/ML. If you have experience creating advanced analytics data products to allow partners to make crucial decisions, you want to make impacts to help player engagement by providing an autonomous platform; then we want to talk to you.


The Data & Analytics (DnA) function brings both quantitative and qualitative insights to the entire company (including all game teams) through Studio Analytics, Data Engineering, Data Science and Machine Learning Engineering. We develop our Studio’s data technical capabilities to bring data insights right to the studio partners' fingertips. 

As an intern in our team, you'll collaborate with data scientists, engineers, and other partners to ensure the effectiveness and reliability of machine learning models and data pipelines. You'll support the deployment, testing, and monitoring of machine learning workflows, ensuring that they meet the highest standards for accuracy, efficiency, and scalability.

Responsibilities:

  1. Enforce the application of best practices in MLOps and ML model production.

  2. Improve production-ready ML models.

  3. Design, construct, and maintain production ML systems.

  4. Work with team members for efficient deployment and scalability of ML models.

  5. Stay updated with the latest technology and platforms and guide the MLE team in the use of new technologies.

   

Requirements:

  1. You are pursuing a degree in Computer Science, Data Science, or related field. 

  2. You have comprehensive knowledge in Machine Learning, MLOps practices, and ML model production.

  3. You have knowledge in designing and maintaining ML systems, developing production-ready ML models.

  4. You have knowledge of the latest technology and platforms in the field such as AWS SageMaker, Airflow, Docker, CI/CD practices, ...

As a Machine Learning Operations Intern, you’ll gain hands-on experience with the full lifecycle of machine learning model deployment and operations. You'll help build systems that power next-generation players experiences while learning from industry experts and contributing to projects across EA.

At this time, we are considering students who will be enrolled in an accredited degree program in the summer of 2025, slated to graduate no earlier than December 2025. Applicants must be legally authorized to work in Canada on a full-time basis during the 16-week internship. Visa sponsorship is not available for this position.




BC COMPENSATION AND BENEFITS

The base salary ranges listed below are for the defined geographic market pay zones in these states. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location.
 
EA has listed the pay ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous  relevant business and candidate factors including, for example, degree type (e.g. Bachelor’s, Master’s, PhD), what stage you are in your degree journey (i.e. freshman, sophomore, etc.), qualifications, certifications, experience, skills, geographic location, and business or organizational needs.

BASE SALARY RANGES

    • British Columbia (depending on location e.g. Vancouver vs. Victoria):
      º 65,000 - $70,000 CAN Salary
     
     
     
     
     
     
     

The pay is just one part of the overall compensation at EA.  We also offer a package of benefits including 80 hours per year of sick time (prorated based on scheduled hours per week if less than full-time), 16 paid company holidays per year, medical insurance, and 401(k).  


Electronic Arts
我们拥有全面的游戏组合和丰富的体验，在世界各地设有分支机构，而且在整个 EA 提供大量机会。我们非常重视适应能力、韧性、创造力和好奇心。我们提供领导岗位让您发挥潜力，为学习和尝试提供空间，赋能您出色地完成工作并寻求成长的机会。

我们对福利计划采用整体方法，强调身体、情感、财务、职业和社区健康，以支持平衡的生活。我们的套餐专为满足当地需求而量身定做，可能包括医疗保险、心理健康支持、退休储蓄、带薪休假、家事休假、免费游戏等。我们营造和谐的环境，让各个团队始终都能尽展所能。

Electronic Arts 是一个注重机会平等的雇主。在聘用员工时不会考虑其种族、肤色、国籍、血统、生理性别、社会性别、性别认同或表达、性取向、年龄、遗传信息、宗教、身心障碍、医疗状况、怀孕状况、婚姻状况、家庭状况或兵役状况，或任何受法律保护的其他特征。我们也会遵守相关法律，考虑招聘有过犯罪记录的合格应聘者。EA 还会根据适用法律的要求，为合资格的残障人士提供工作场所的便利。