Machine Learning Engineer

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 builds the future of AI for testing games. As a Machine Learning Engineer reporting to the Director of AI, you will fulfill high-impact applied research goals and help us bring 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.

• Prototype, train, and ship AI tools that improve game testing efficiency, such as autonomous play-testing agents, test-case generation, anomaly/bug detection, and bug triaging.
• Translate ATOM’s technology roadmap into experiments and deliverables, with support from lead and senior ML scientists
• Build reliable data pipelines from gameplay logs, video/frames, and telemetry; ensure data quality, labelling strategies, and reproducibility.
• Stay up-to-date on advancements in deep learning and GenAI through self-study, internal workshops, and external conferences.
• This job is onsite of hybrid remote/in-office (3 days/week).

• BSc degree in Computer Science, Engineering or Mathematics, or equivalent experience.
• 3+ years of experience spanning across the entire ML lifecycle (frame, gather/curate data, model, evaluate, deploy, observe)
• Fluent in Python and major ML frameworks (e.g., PyTorch) and skill with software development practices.
• Experience training models at scale (multi-GPU or distributed), strong understanding of ML fundamentals, MLOps, and best practices (e.g., reproducibility).

• Graduate degree in Computer Science, Engineering, Mathematics, or related discipline.
• Experience with:
  Reinforcement/Imitation Learning, Computer Vision (for video), Agents/LLMs, Uncertainty Quantification, Out-of-distribution detection.
• Experience with Distributed ML (e.g., Deep Seed).

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) *$119,600 – $167,300 CAD
• California (depending on location e.g. Los Angeles vs. San Francisco) *$138,400 – $211,700 USD
• Washington (depending on location e.g. Seattle vs. Spokane) *$129,500 – $171,800 USD

In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.

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.

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…