Electronic Arts

EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

We’re looking for a Machine Learning Engineer Co-op to join our paid world-class internship experience. The start date for this opportunity is May 2025 (4-month term), you may be eligible for course credit depending on your institution. You will report to the Development Director.  For more information about our Next-Gen Program, visit https://www.ea.com/careers/interns-and-university-graduates

You will assist with our experimental Research and Development work within EA’s Sports Quality Verification Engineering organization. This work will focus on the Machine Learning domain and will be the foundation for our next generation of tools and solutions for driving effectiveness and efficiencies in our QV process. You will play an important role in this transformation.

Responsibilities

• Gather use-case requirements from our partner teams and organizations.

• Provide research into possible solutions, running experiments, providing proofs of concept, demonstrating your results, and providing recommendations.

• Provide improvements to existing solution implementations.

• Update existing Machine Learning models and enhance data sets.

• Help productizing ML solutions and roll them out to our partners.

• Provide documentation and gather feedback from our partners.

Qualifications

• Working towards a Bachelor’s degree in Computer Science, Engineering, Software engineering or equivalent. Preferably, completed 3rd year of their program.

• Experience with programing language such as C#, C++ or Python.

• Have a good understanding of the interaction between software, hardware and network.

• Have a general understanding for Machine Learning basics.

• Have a good understanding of software development life cycle, practices and software engineering methodologies.

• Stay informed about relevant technology trends and developments on new technologies, practices, and paradigms.

• Have basic knowledge of technical writing.

We are only considering students who will be enrolled in an accredited degree program throughout this Co-op, slated to graduate no earlier than December 2025. You must be legally authorized to work in Canada on a full-time basis during the 4-month Co-op. Visa sponsorship is not available for this position. . 

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.