{"id":"3dd9872e-a914-44a1-8f9d-cbd996e76626","title":"Machine Learning Engineer - EA SPORTS™ FC","company":{"id":"947a33a9-2d59-49fd-ad8b-5898149bc645","name":"Electronic Arts","website":"https://jobs.ea.com","url":"https://yesjob-web.pages.dev/companies/947a33a9-2d59-49fd-ad8b-5898149bc645"},"url":"https://yesjob-web.pages.dev/jobs/3dd9872e-a914-44a1-8f9d-cbd996e76626","apply_url":"https://jobs.ea.com/en_US/careers/JobDetail/215640","status":"open","location":"Vancouver, British Columbia, Canada","locations":[{"city":"Vancouver","region":"BC","country":"CA"}],"workplace":"hybrid","remote_eligible_countries":[],"employment_types":["full_time"],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":[],"seniority":null,"first_seen_at":"2026-11-06T10:22:57.857Z","last_seen_at":"2026-11-14T19:59:17.878Z","salary_text":null,"summary":"- Full-stack ML engineering role on EA SPORTS FC, deploying models and LLMs to consoles, PC and production in-game systems, in Vancouver, BC.\n- Requires experience with LLM deployment, fine-tuning and RAG, plus Python, C++ or Java, and Databricks, Trino and Airflow.\n- Hybrid is taken from the ATS label only, since the description gives no onsite days. Seniority is not stated.\n- No salary is shown. Work authorization is not stated.","sources":["https://jobs.ea.com/en_US/careers/JobDetail/215640"]}