Electronic Arts

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.

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.

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 hourly 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. PAY RANGES

The hourly 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). Interns in California are also eligible for Voluntary Disability Insurance.