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Added 11 mins ago
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SAS Technical Lead
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Perform complexity assessment and classification of SAS workloads into migration categories such as Migrate, Refactor, Re-engineer, Archive, or Retire.
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Senior Software Engineer – Python / TypeScript | AI Evaluation
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Data Engineer
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Staff Software Developer, Client Stack, Front End and Web Development, Google Cloud
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Job Title: QA Engineer- Salesforce Marketing Cloud (SFMC)
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AI/ML Engineer (Junior)
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Added 8 hours ago
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Software Engineer
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Senior Backend Engineer .NET & Python
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Electronic Arts

Machine Learning Engineer - EA SPORTS™ FC

Vancouver, BC, Canada

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Job details

Experience: 2+ years of industry experience, including internships, within Machine Learning projects:
Posting language: English
Posted: Oct 1, 2026

Original job description

General Information

Locations: Vancouver, British Columbia, Canada

Role ID

215861

Worker Type

Regular Employee

Studio/Department

EA Studios - SPORTS

Work Model

Hybrid

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™ FC is at the forefront of revolutionizing the world of gaming by driving transformational change in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.

As one of the largest sports entertainment platforms in the world, EA SPORTS™ FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.

With more opportunity than ever to design, innovate and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.

The EA SPORTS™ FC Gameplay Advanced Team makes meaningful innovations in team strategy, AI, player animation, and player interactions that create exciting back of the box features for the EA Sports FC franchise. We work with creative designers, artists, and engineers to deliver big ideas that matter to the millions of players who enjoy the biggest sports video game in the world.

In this role you will join our multidisciplinary effort to deliver the best animation in the industry. You will be initially focusing on building a generative system to produce poses at runtime.

Your Responsibilities:

Develop and maintain a complete animation data pipeline for ML training, from data source to deployment.
Build stress tests to validate model robustness and performance prior to release.
Gather and analyze live deployment data to identify issues and optimize model performance.
Gather, annotate, and synthesize training data using EA FC mocap, real-world volumetric data, and feedback from animation experts.
Share results through shipping features, presentations, papers, prototypes, and interactive demonstrations.
Stay current with latest ML and animation advancements, collaborating with production, design, and art teams to identify and drive impactful projects.
Apply machine learning techniques to develop high-quality human motion models that respond quickly to real-time controller input.

Your Qualifications:

BS in Computer Science, Mathematics, or a related field, or equivalent professional experience.
Proficiency in Python.
2+ years of industry experience, including internships, within Machine Learning projects:
- Preparing large-scale datasets (TBs), with focus on compute and memory efficiency.
- Productizing ML solutions, either as standalone applications or production services.
- Working with cloud technologies such as Docker containers, Kubernetes, Azure, or Argo Workflows.
Experience with 3D animation, 3D transformations, linear algebra.
Familiarity with ML frameworks like PyTorch or TensorFlow.
Familiarity with C++.

Nice to have:

Experience optimizing ML models for real-time, memory- and compute-constrained environments.
Experience with ML Applications in the game/entertainment domain
Experience in imitation learning (IL)
Familiarity using 3D animation tools and/or game engines a bonus

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) *$122,300 - $170,700 CAD

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

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.

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 and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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More about this job

Responsibilities

Develop and maintain animation data pipelines for machine learning training and deployment. Apply machine learning techniques to create high-quality human motion models that respond to real-time controller input.

Requirements

Requires a Bachelor's degree in Computer Science, Mathematics, or a related field. Candidates must have at least 2 years of industry experience in machine learning, including dataset preparation and productizing ML solutions.

Skills

Python
Machine learning
3D animation
Linear algebra
PyTorch
TensorFlow
C++
Docker
Kubernetes
Azure
Argo Workflows
Data pipeline development
Imitation learning
Motion capture
Volumetric data analysis

Benefits

Vacation
Sick time
Paid parental leave
Extended health coverage
Dental coverage
Vision coverage
Life insurance
Disability insurance
Retirement plan
Mental well-being support
Complimentary games

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
C++
PyTorch
TensorFlow
3D Animation
Linear Algebra
Docker
Kubernetes
Azure
Argo Workflows
Data Pipeline
Imitation Learning
Motion Capture
Volumetric Data
Game Development
EA SPORTS FC
Generative Systems
Real-time Systems
Animation Data

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