Senior Research Engineer (Worlds)

Electronic Arts

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Hybrid

Quick summary

Work type
Hybrid
Location
Redwood City, CAMontreal, CanadaVancouver, British Columbia, Canada
Salary
$141,400–$204,400 / yr
Posted
1 day ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $173k
$132k most similar roles pay here $231k

This role pays less than 57% of similar roles. Most pay $152,000–$221,000 — the shaded band above. At the midpoint, this role pays about $173k versus about $186k 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 39 open roles on FindRole.

Listed pay typically runs $141,400–$204,400 across 22 roles with salary data.

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At a glance

TL;DR · Senior Research Engineer (Worlds)

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The Senior Research Engineer (Worlds) joins the Worlds research pillar to redefine game world authoring technologies at the intersection of traditional artistry and Machine Learning. This applied research role involves building high-impact prototypes and demos within a game engine to translate complex science into practical creative tools for world-building. The engineer will collaborate with researchers, artists, and designers to develop novel solutions for scene understanding, spatial reasoning, and visual quality evaluation while ensuring integration with existing systems. Key technical requirements include expertise in Vision-Language Models, Computer Vision methods like depth estimation and video segmentation, and experience with model training and inference. Candidates must demonstrate proficiency in Python, PyTorch or TensorFlow, and agentic frameworks. The role focuses on solving the challenge of creating more accessible and rewarding tools for player-driven content creation within virtual environments.

Skills

Machine Learning Computer Vision Vision-Language Models Python PyTorch TensorFlow Agentic Frameworks Depth Estimation Video Segmentation Model Training Inference Scene Understanding Spatial Reasoning

What you'll do

  • Translate research prototypes into production-ready features within the game engine.
  • Research and implement technical solutions for complex challenges in video game development.
  • Conduct applied research in scene understanding, spatial reasoning, and visual quality evaluation.
  • Engineer systems for model training, inference, scaling, and integration.
  • Build compelling demos to showcase novel world-building technologies in modern game engines.
  • Develop tools and features using Python, PyTorch/TensorFlow, and agentic frameworks.
  • Share research findings and best practices to support team learning and growth.

What we're looking for

  • A degree in Computer Science, a STEM field, or equivalent practical experience related to Game Content Creation is required.
  • You must have 7+ years of combined experience between graduate research (PhD, Masters) and professional/research experience.
  • Proven expertise with Vision-Language Models (VLMs) and Computer Vision methods including depth estimation and video segmentation is required.
  • Hands-on experience with model training and inference is required.
  • Experience translating ideas into functional prototypes or demos that showcase concepts in practice is required.
  • Strong skills in Python development are required.
  • Proficiency with ML frameworks such as PyTorch or TensorFlow is required.
  • Experience with agentic frameworks is required.

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