AI Engineer II

$122,300 - $170,600/Yr

Electronic Arts - Redwood City, CA

posted about 2 months ago

Full-time - Mid Level
Onsite - Redwood City, CA
Publishing Industries

About the position

The Software Engineer II position within the EA Digital Platform (EADP) group focuses on developing scalable AI infrastructure and platforms that support the entire lifecycle of machine learning operations. This role is crucial for enhancing game development and player experiences by providing reusable AI capabilities across Electronic Arts' franchises. The engineer will collaborate with various teams to implement AI solutions that are integrated into production systems, ensuring high performance and scalability.

Responsibilities

  • Architect and develop core AI infrastructure components for end-to-end ML lifecycle operations.
  • Establish scalable, secure, and available cloud-based platforms for large-scale data analyses, model development, validation, and deployment.
  • Design and implement efficient and automated customer-facing processes and workflows supporting AI platform technologies.
  • Work with AI Scientists to deploy ML models in production systems, including predictive learning and content-generative applications.
  • Collaborate with producers, ML engineers, and game developers on ML solutions built on platform technologies.
  • Manage and operate commercial tools and platforms such as Databricks and AWS Sagemaker.

Requirements

  • 3+ years of software engineering experience with a focus on AI/ML systems or platform development.
  • Proficiency in Deep Learning frameworks like PyTorch.
  • Proficiency in Python programming.
  • Experience in CI/CD, containerization, and orchestration tools such as Docker and Kubernetes.
  • Experience designing and building scalable cloud-based solutions for machine learning lifecycle.
  • Experience with cloud platforms (AWS, GCP, or Azure) and cloud-native tools (e.g. terraform) for managing infrastructure.
  • Experience deploying and managing machine learning models in production for real-time applications.
  • Experience with one or more data lakehouse solutions, like Snowflake, Trino, Redshift, or Spark.

Benefits

  • 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, and vision insurance
  • Life insurance
  • Disability insurance
  • 401(k) plan
  • Potential eligibility for bonus and equity
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