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Descriere și cerințe
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.
* 5+ 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).