Senior Machine Learning Engineer - Future Opportunities

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

Job summary

A leading gaming company is seeking a Senior Machine Learning Engineer in Vancouver, Canada. In this role, you will work alongside researchers to build frameworks that drive innovation in gaming. You will implement strategies supporting the research roadmap and facilitate cutting-edge experiments. The ideal candidate will have a strong technical background, experience in AI and machine learning, and a degree in a relevant field. This position offers competitive compensation and benefits.

Benefits

Vacation (3 weeks per year)

Sick time (10 days per year)

Paid parental leave

Extended health/dental/vision coverage

Retirement plan

Qualifications

• BS in Computer Science, mathematics or related field, or equivalent experience.
• Strong technical background with both research engineering and game development.
• Experience with AI and machine learning tools and their application in gaming.

Responsibilities

• Implement the technical strategy to support the research roadmap.
• Work closely with the research team to support experiments.
• Facilitate sharing of results through prototypes.

Skills

AI and machine learning

Research engineering

Game development

Implementation of new ideas

Education

BS in Computer Science, mathematics or related field

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 redefine the gaming experience by integrating technologies 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 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.

Responsibilities

• Implement the technical strategy to support our research roadmap, exploring frontier technologies to shape the future of Sports Gaming
• Work closely with the research team to support experiments with tooling and platforms, as well as data acquisition and management
• Facilitate the sharing of results through prototypes and compelling interactive demonstrations
• Stay abreast of the latest advancements in relevant technologies and propose impactful projects to drive innovation
• Collaborate with game teams to understand their technical needs and build strategies to scale and integrate new discoveries
• Collaborate with a diverse range of partners, including research, engineering, and game development teams

Qualifications

• BS in Computer Science, mathematics or related field, or equivalent experience
• Strong technical background, experience working with both research engineering and game development, and a proven track record of delivery
• Demonstrated success turning new ideas into effective implementations
• Experience with AI and machine learning, their relevant tools and platforms, and its application in gaming

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

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.

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

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.

Equal Opportunity Statement

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.