Software Engineer Ii - Ai Platform

Electronic Arts

Vancouver, British Columbia, Canada
Base: $104,500 - $142,800 cad; bonus/equity: not s...
On-site
Python programming proficiency
Machine learning lifecycle understanding
Containerization and orchestration experience
The AI Platform team delivers centralized AI resources across all Electronic Arts franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide application

Job Summary

  • The AI Platform team delivers centralized AI resources across all Electronic Arts franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide application.
  • As a Software Engineer with expertise in AI/ML systems and platform development, you will help lead the creation of a scalable AI Platform.
  • You will develop core AI platform components to support machine learning lifecycle workflows and implement and maintain cloud-based infrastructure to support scalable ML workloads.

Matching Summary

The AI Platform team delivers centralized AI resources across all Electronic Arts franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide application.

Salary

Base: $104,500 - $142,800 CAD; Bonus/Equity: Not specified; Benefits: Vacation, sick time, health/dental/vision, life insurance, disability insurance, retirement plan

Skills & Requirements

Must-have

  • Python programming proficiency
  • Machine learning lifecycle understanding
  • Containerization and orchestration experience
  • Cloud platform experience (AWS, GCP, Azure)
  • CI/CD pipelines for model deployment
  • Develop core AI platform components

Nice-to-have

  • Generative AI technologies exposure
  • Live service or gaming environment experience
  • End-to-end ML systems project work

Key Requirements

  • 3+ years of professional software engineering experience
  • Familiarity with deep-learning frameworks (e.g., PyTorch)
  • Experience working with containerisation (Docker), orchestration (Kubernetes)
  • Exposure to cloud platforms (AWS, GCP, or Azure)
  • Experience with data-lake or lakehouse technologies

Work Rights

Not specified

Tailored Resume

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