Electronic Arts is looking to improve its recommendation systems by designing, prototyping, and evaluating state-of-the-art AI models that power EA's live personalization and recommendation experiences, impacting millions of players worldwide.
Requirements
- Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow.
- Familiarity with recommendation systems, natural language processing, or large-scale data analytics.
- Experience with distributed computing frameworks (e.g., Spark, Ray) and high-performance computing environments.
- Exposure to large language model training, fine-tuning, and evaluation.
- Knowledge of SQL/NoSQL database systems and cloud platforms (AWS, GCP, or Azure).
- Prior experience with real-time data pipelines, experimentation platforms, or recommendation services.
Responsibilities
- Access and analyze large-scale transaction and gameplay data to generate insights and inform model design.
- Research, prototype, and train modern recommendation models, including those leveraging Large Language Models (LLMs).
- Develop and maintain automated data pipelines to support large-scale training.
- Collaborate with engineers and researchers to evaluate model performance against benchmarks such as accuracy, efficiency, and player experience.
- Contribute to the deployment and monitoring of models within EA’s production recommendation platform.
- Participate in team meetings, provide updates on project progress, and incorporate feedback into deliverables.
Other
- Currently enrolled in a Master’s program in Computer Science, Data Science, Machine Learning, or a related field with graduation date December 2026 or later.
- You must be available for a full-time paid internship in the summer of 2026.
- Applicants must be legally authorized to work in the US on a full-time basis during the 12-week internship.
- Visa sponsorship is not available for this position.
- Passion for gaming and interest in applying AI to improve player engagement and live service personalization.
