Senior Research Engineer – ML BotsLocation: Vancouver, BC (Hybrid – 3 days/week in office). The role is part of the Creative Innovation Pillar, focusing on developing real‑time NPC behaviors and game AI bots using reinforcement learning and imitation learning. The position reports to the Pillar Lead for Emergent Gameplay and engages with game studios to translate research into functional demonstrations that guide innovation for EA's games. ResponsibilitiesDevelop novel ideas by researching and implementing solutions to complex challenges in video game AI. Contribute to applied research in areas such as Language Models, Reinforcement Learning, Imitation Learning, and agent reasoning, proposing new use cases and algorithms for player‑facing game AI agents while targeting real‑time, on‑device performance. Build compelling demos that highlight novel applications of AI agents, NPC behaviors, and game AI bots, integrating into modern game engine technologies. Collaborate directly with game studios to understand their AI needs and deliver agent solutions that work within their production pipelines. We are looking for an open and curious person who enjoys taking new ideas, investigating them, and adapting their application to games. Required QualificationsA degree in Computer Science, a STEM field, or equivalent practical experience related to game AI. 8+ years of experience in software development, game development, or other relevant roles demonstrating the ability to build real‑time game AI experiences. Strong experience with Reinforcement Learning, Imitation Learning, or other agent‑based ML approaches. Experience turning ideas into functional prototypes or demos that showcase concepts in practice. Excellent programming abilities and the ability to explain complex concepts. Experience with programming languages commonly used in game development and machine learning, including C++, C#, and Python. Working knowledge of game engines such as Unity, Unreal, Godot, or similar technologies. A genuine interest in video games paired with a critical understanding of how AI is built in games, including the ability to form one's own insights on how to improve it. Desired QualificationsPhD degree in Computer Science or a STEM field. Experience deploying ML models in shipped game titles or live production environments. Experience with publications in peer‑reviewed conferences or journals. Pay Transparency – North AmericaPay ranges are based on location and experience. British Columbia (depending on location e.g., Vancouver vs. Victoria) – $141,400 – $204,400 CAD Pay is just one part of the overall compensation at EA. BenefitsBenefits include 3 weeks vacation per year to start, 10 days sick time per year, top‑up to EI/QPIP benefits up to 100% of base salary for new child, maternity leave (12 weeks) and parental/adoption leave (4 weeks), extended health/dental/vision coverage, life insurance, disability insurance, and a retirement plan. Certain roles may also be eligible for bonus and equity. Equal Opportunity EmployerElectronic 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. Applicants with criminal records will be considered in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by law.#J-18808-Ljbffr