Machine Learning Engineer Co-Op

Job Description

Electronic Arts are looking for high-performing students to join our world-class co-op experience. Fall 2023 will be better than ever as we offer 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

Who We Are

We are looking to build better Machine Learning toolkits to empower deployment strategy on EA games in a self-serve, scalable, and direct-to-players fashion. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly improve various aspects of EA business.

If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data, and working in a creative, and collaborative environment, this opportunity is for you.

Development Track Opportunities

Streamline Data Science & ML Workflow

• Design, validate and test machine learning models
• Write production-level code to convert machine-learning models into a working automation pipeline
• Contribution to machine learning toolkits to refine the end-to-end process

Business Measurement with ML Deployment

• Conduct experimentation on post-machine learning models deployment
• Provide key metrics to measure growth with machine learning models
• Promote data culture using practical knowledge

Qualifications

• You are in the process of obtaining an Undergraduate or Graduate degree in Computer Science or a related technical field
• You have knowledge of machine learning libraries like scikit-learn, Tensorflow, PyTorch, Keras, XGBoost
• You are proficient in Python
• You possess practical knowledge of how to build efficient end-to-end machine learning workflows