Description

About the Role:

Join the EA Digital Platform (EADP) team—the technological backbone of Electronic Arts—developing platforms that power all EA games. As a Software Engineer II (AI/ML Ops), you’ll contribute to building distributed systems that enable personalized gaming experiences at scale.

Key Responsibilities:

• Design, implement, and optimize infrastructure for AI model training and deployment.
• Integrate AI features into EA's platforms and applications.
• Build tools to monitor system performance and analyze real-time metrics.
• Conduct code reviews to ensure adherence to best practices.
• Enhance operational features and platform observability.
• Collaborate with senior engineers on platform improvement and stability.

Requirements:

Education

Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

Experience & Skills

• 3+ years of experience in software development and ML model building.
• Hands-on experience with programming languages such as Go, Java, or Scala.
• Scripting languages: Python, Bash, Awk.
• ML Libraries: Scikit-Learn, Pandas, Matplotlib.
• Deep learning: TensorFlow, PyTorch, CUDA.
• Cloud-based ML platforms: AWS Sagemaker, Azure ML, GCP Vertex AI.
• Strong familiarity with cloud services and modern data technologies.
• Experience with data streaming/processing platforms.

Key Technologies:

Go, Java, Scala, Python, Bash, TensorFlow, PyTorch, Sagemaker, Azure ML, GCP Vertex AI, Pandas, Scikit-learn, Matplotlib, CUDA

What EA Offers:

• A culture that values creativity, curiosity, and diversity.
• Wellness benefits tailored to your region (healthcare, paid leave, mental health support, and more).
• Access to career growth programs, game access, and supportive leadership.
• Work-life balance and a people-first environment.

Equal Opportunity:

• Electronic Arts is committed to an inclusive and diverse work environment and is an equal opportunity employer.