Senior Machine Learning Engineer - EA Sports Advanced Technology

Electronic Arts

Hybrid

Quick summary

Work type
Hybrid
Location
Redwood City, CA · Vancouver, British Columbia, Canada
Salary
$141,400–$204,400 / yr
Posted
today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $218k
This role $173k
$127k most similar roles pay here $276k

This role pays less than 80% of similar roles. Most pay $177,250–$259,212 — the shaded band above. At the midpoint, this role pays about $173k versus about $218k for comparable roles.

Based on 240 similar postings.

Employer

About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 16 open roles on FindRole.

Listed pay typically runs $141,400–$204,400 across 12 roles with salary data.

Most-posted roles

View all roles at Electronic Arts

At a glance

TL;DR · Senior Machine Learning Engineer - EA Sports Advanced Technology

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The Senior Machine Learning Engineer role at EA Sports Advanced Technology involves designing and implementing machine learning solutions for complex challenges in game development, focusing on generative modeling and content generation. This position requires building production-ready ML systems that adhere to real-world constraints such as performance and iteration speed while creating intuitive workflows for content creators. The ideal candidate will have expertise in Python, a strong foundation in linear algebra and statistics, and experience translating research ideas into practical applications. They must work closely with software engineers and content creators to ensure tools are maintainable and user-friendly. This role is part of EA Sports Technology, which develops scalable technologies for game teams across various engines and platforms, aiming to enhance the fidelity and realism of characters in all EA SPORTS titles.

Skills

Python ML Computer Vision Kubernetes Terraform Docker CI/CD Prometheus Grafana PostgreSQL Redis Git Jenkins AWS Azure Google Cloud Frostbite Engine TensorFlow PyTorch Scikit-learn Pandas NumPy Linear Algebra Statistics MLOps

What you'll do

  • Design and train ML and computer vision solutions for complex challenges in 2D and 3D.
  • Implement production-ready ML systems that meet game development constraints like performance and iteration speed.
  • Create intuitive, easy-to-use workflows powered by ML to reduce repetitive manual work for creators.
  • Optimize models and pipelines to improve training efficiency without compromising output quality.
  • Evaluate and extend internal and external ML technologies for specific game use cases.
  • Collaborate with content creators and software engineers to ensure tools are maintainable and enjoyable.

What we're looking for

  • Bachelor’s degree in Computer Science, Applied Math, Statistics, Machine Learning or equivalent experience.
  • Expert-level proficiency in Python with deep hands-on experience in writing clean, scalable, high-performance code.
  • Strong foundation in linear algebra, statistics, and mathematical optimization.
  • 1–2+ years of practical Machine Learning experience with a problem-solving mindset.
  • Ability to translate research ideas into working systems while balancing innovation, usability, and performance.
  • Design and train ML solutions for complex challenges including generative modeling and content generation.
  • Implement production-ready ML systems that respect game development constraints such as performance and iteration speed.

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