Electronic Arts

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.

Responsibilities

• 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).

Qualifications

• 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).

Preferences

• 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., DeepSeed).