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Machine Learning Engineer
Machine Learning EngineerElectronic Arts (EA) • Vancouver, Metro Vancouver Regional District, CA
Machine Learning Engineer

Machine Learning Engineer

Electronic Arts (EA) • Vancouver, Metro Vancouver Regional District, CA
1 day ago
Job type
  • Full-time
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.

The ATOM team is responsible for building the future of AI-driven game testing. As a Senior Machine Learning Engineer for ATOM, you will report to the Director of AI for Quality Verification Services (QVS). You will fulfill high-impact applied research goals and help execute a vision that brings EA's games to life. Your mission is to discover and evaluate AI methods that increase the velocity and quality of next generation interactive experiences. Our team impacts every title in EA's portfolio, and you will work with all types of AI technology to improve our titles.

Your Responsibilities Include

  • Execute the AI / ML technology roadmap. Work with our Director of AI and Lead Scientist to define and execute the RnD roadmap for next-generation game-testing solutions. Your applied research will involve areas such as agentic workflows, RL / IL agents, code quality evaluation, bug-prediction models, multi-modal foundation models and generative content evaluation. Your goal is to assess any relevant AI technology for product readiness, and your work will touch every game in the EA umbrella.
  • Development Strategy. Help decide which parts of the roadmap we should develop internally, which parts we should develop with external partners and which parts we should license. You will help build the team further and also have a significant compute budget to support your goals.
  • Inform the development of robust AI platforms. ATOM's solutions will ultimately need to scale up to meet the needs of games across all of our studios. Partner with other groups to inform them of what is required to scale these solutions, and define governance for data pipelines, simulation environments, and telemetry-collection systems that fuel rapid experimentation and development.
  • Communicate outcomes. Work with the Development Director to communicate progress across the organization through reports, technical papers, demos, and prototypes that showcase improvements and help establish ATOM as an organizational leader in AI adoption.
  • Stay current. Spend time in the literature and attend conferences to keep on top of advances in RL / IL, Computer Vision, and Natural Language Processing.
  • Build & mentor a high-impact team. Help recruit, develop, and inspire top engineering talent and foster a collaborative, inclusive, and innovative culture that solves problems and provides value.
  • Collaborate across the studio ecosystem. Coordinate with QA leadership, other research groups, enterprise teams and core game-development teams to integrate AI testing tools and ensure solutions tightly match use cases.

Your Qualifications

  • MSc in Computer Science, mathematics or related field
  • At least 8 years of experience working in AI engineering
  • Strong programming skills and understanding of software engineering practices
  • Experience working with both research and engineering contexts
  • Experience putting ML models into production
  • Experience leading other engineers
  • 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).

  • 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 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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    Machine Learning Engineer • Vancouver, Metro Vancouver Regional District, CA

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