Internship

Machine Learning Engineer Co-Op

Electronic Arts

Vancouver, BC 01-06-2021
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  • Paid
  • Internship
  • Entry (0-2 years) Experience
Job Description

Machine Learning Engineer Co-Op - (Masters or PhD student)

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:

Machine Learning Workflow Design
• Write production-level code to convert machine learning models into working automation pipeline
• Contribution on machine learning toolkits to streamline the end-to-end process

Machine Learning Models Research and Development
• Develop various ML/DL models based on business requirements
• Provide key metrics to measure the business impact with machine learning models
• Promote data culture using practical knowledge

Qualifications:
• Currently pursuing a M.S. or Ph.D in Computer Science, Statistics, Mathematics or related fields
• Knowledge of machine learning libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, etc
• Practical knowledge of how to build efficient end-to-end machine learning workflows
• Good coding practices, ability to write efficient and readable codes
• Being passionate about designing software systems
• Having passion for learning and sharing the knowledge with teammates
• Familiarity with machine learning, statistical analysis, and data science
• Strong documentation and communication skills to report the progress on the work to the team

Location
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Company Profile
Electronic Arts

Electronic Arts Inc. is a global leader in digital interactive entertainment. EA develops and delivers games, content and online services for Internet-connected consoles, mobile devices and personal computers.