Machine Learning Engineer Co-Op

Job Description

Machine Learning Engineer

Development Technology & Services (DTS)

Development Technology and Services (DTS) powers EA studios to create even greater player experiences. We help shape the future from the way games are created, to how they are played and viewed. We are a global team and also the largest studio within EA! DTS proudly consists of the following teams: Engineering Services (ES), Studios Data Insights, and Quality, Verification, and Standards.

Responsibilities:
• You will write new and refactor existing python code for Machine Learning
• You will devise and implement tuning and improvements to Machine Learning Models, Hyperparameters, and configurations
• You will create training and test data sets for machine learning models
• You will automate ML processes, including training, inference, and reporting
• You will gain experience in creating web sites for the reporting and sharing of the ML results
• You will also gain experience building servers for ML related pipeline tasks
• You will have the opportunity to work with colleagues across many EA studios and many games
• You will report to the Director of Quality Verification

Qualifications:
• Knowledge of deep learning libraries/frameworks, especially Tensorflow
• Computer Vision, OpenCV, Keras
• Statistical Analysis / Data
• Experience in web programming, ideally in AngularJS or similar
• Passionate about new technology
• Knowledge of good software engineering practices
• Excellent math skills
• Work with others in a team-oriented environment and be an individual contributor
• Navigate quickly changing project requirements and real-time feedback
• Familiarity with video game concepts, mechanics, and systems

Jobcode: Reference SBJ-rv4e87-3-144-42-196-42 in your application.