Senior Machine Learning Engineer

Electronic Arts; Vancouver; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading gaming company in Vancouver is seeking a Senior Machine Learning Engineer to drive research innovations. This role requires collaboration with teams to develop machine learning models and implement cutting-edge technologies. Candidates should have a Master’s degree and over 5 years of relevant experience. The position offers a competitive compensation package, including benefits like vacation and health coverage, reflecting the company's commitment to employee well-being and innovation.

Benefits

3 weeks vacation

10 days sick leave

Health/dental/vision coverage

Life insurance

Retirement plan

Qualifications

• 5+ years of professional experience in machine learning.
• Proven success in research and engineering.
• Experience with training and inference optimization.

Responsibilities

• Drive technical strategy for research roadmap.
• Partner with teams to execute experiments.
• Build tooling and platforms for research.
• Translate research into prototypes and demos.

Skills

Machine Learning Model Development

Experiment Design

Data Systems Maintenance

AI/ML Tools Proficiency

Hands-on Implementation

Education

Master’s degree or higher in Computer Science, Mathematics, or related field

Tools

Diffusion Models

Generative Modeling Approaches

Job description

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 revolutionizes the world of gaming by creating transformational changes in how games are made and played. At EA SPORTS, everyone contributes to creating the future of entertainment, building a community where creativity and new ideas excel.

The EA SPORTS Catalyst Research and Innovation Team is dedicated to pioneering research that propels the gaming industry forward. We aim to invent new kinds of gaming experiences by leveraging recent advances in technology and exploring new paradigms in game development. We focus on forward‑looking experimentation and harness the latest technology to uncover what makes games fun for humans.

As a Senior Machine Learning Engineer, reporting to the Head of Research and Innovation, you will build the framework and tools necessary to drive our research strategy and innovation roadmap. You will work closely alongside our researchers to develop cutting edge models, streamline their research and bring our innovations to life. Your mission is to redefine what is possible in gameplay by taking our team’s research from concept to reality; empowering experimentation, scaling up new discoveries, and contributing to a strategy that brings the future of gaming to life at EA SPORTS.

Your Responsibilities

• Drive the technical strategy behind our research roadmap, exploring frontier technologies that will define the future of Sports Gaming.
• Partner closely with research teams to design and execute experiments, including hands‑on implementation of machine learning models and advanced training pipelines.
• Support large‑scale training, inference optimization, and fine‑tuning efforts to push model performance and efficiency.
• Build and maintain tooling, platforms, and data systems that accelerate research velocity, including data acquisition and curation workflows.
• Translate research breakthroughs into prototypes and highly engaging interactive demos that clearly communicate value and inspire adoption.
• Keep a pulse on cutting‑edge technologies – including diffusion models, generative techniques, and emerging AI frameworks – and propose ambitious, high‑impact projects.
• Work directly with game teams to understand their opportunities and challenges, and craft scalable strategies for integrating new research into production environments.
• Collaborate across engineering, research, and game development groups to ensure alignment and accelerate innovation across the portfolio.

Your Qualifications

• Master’s degree or higher in Computer Science, Mathematics, or a related technical field (or equivalent advanced experience).
• 5+ years of professional experience developing, training, and optimizing machine learning models in real‑world environments.
• Strong technical foundation with proven success working across research and engineering disciplines.
• Hands‑on experience implementing ML models, including practical knowledge of training, inference optimization, and fine‑tuning workflows.
• Familiarity with diffusion models or other cutting‑edge generative modeling approaches.
• Demonstrated ability to turn novel ideas into robust, effective implementations that materially move projects forward.
• Experience with AI/ML tools, platforms, and frameworks, plus an understanding of their application in gaming or interactive systems.

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

In 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 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.