Senior Software Engineer - Machine Learning

Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

EA SPORTS
is redefining how games are made and played. We are driving meaningful change across the industry, and every team member contributes to shaping the future of interactive entertainment. Creativity, innovation, and technology come together here to deliver experiences enjoyed by millions of players worldwide.

About The Team
The FC Generative AI team researches and develops machine learning–powered features that elevate the player experience and transform how fans interact with EA SPORTS FC.

The Opportunity
You will join a cross-functional team responsible for taking ML initiatives from early research and ideation through full production integration into live game features. This role sits at the intersection of cutting‑edge AI and real‑time interactive systems.

What You Will Do

Research and evaluate machine learning models across areas such as automatic speech recognition, natural language processing, and procedural content generation.

Adapt and optimize models to meet gameplay requirements and platform constraints and integrate them into core game systems.

Develop and ship player‑facing features powered by ML.

Collaborate closely with engineers, designers, and partner teams to bring features from concept to launch.

Share knowledge through demonstrations and presentations, promoting ML best practices across the team.

Stay current with advancements in AI and machine learning and work with internal experts and external technology partners to prototype new opportunities within FC.

Required Qualifications

Bachelor’s degree in computer science, mathematics, or a related field, or equivalent professional experience.

Strong programming fundamentals with proficiency in at least one language (C++, Python, Java, or C# preferred).

Professional experience with AI and machine learning tools and frameworks.

Proven experience building, deploying, and maintaining ML applications in production environments.

Experience with large language models (LLMs) and retrieval‑augmented generation (RAG) techniques.

Preferred Qualifications

Master’s or PhD in computer science, mathematics, or a related field.

Experience with ML frameworks such as PyTorch or Tensor Flow.

Experience optimizing ML models for real‑time, memory‑ and compute‑constrained environments.

Experience working with large‑scale datasets (GBs/TBs).

Experience with cloud platforms and technologies (e.g., containers, Kubernetes, Azure, or AWS).

Pay Transparency - North America
Compensation And Benefits
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

British Columbia (depending on location e.g. Vancouver vs. Victoria) $138,700 - $199,900 CAD

Pay is just one part of the overall compensation at EA.

For British Columbia, 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 equity.

About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning…