Applied AI Researcher

Electronic Arts

Hybrid

Quick summary

Work type
Hybrid
Location
Kirkland, WA
Salary
$133,100–$178,400 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $156k
$119k most similar roles pay here $264k

This role pays less than 84% of similar roles. Most pay $167,662–$246,150 — the shaded band above. At the midpoint, this role pays about $156k versus about $207k 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 127 open roles on FindRole.

Listed pay typically runs $122,300–$170,700 across 76 roles with salary data.

Most-posted roles

View all roles at Electronic Arts

At a glance

TL;DR · Applied AI Researcher

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EA Experiences is hiring a Senior AI/ML Research Scientist to drive the development of next-generation generative AI capabilities for creative content generation and foundation models, including diffusion models, LLMs, multimodal architectures, and GNNs. This role involves collaborating with cross-functional teams to translate business needs into model requirements and advising on cutting-edge solutions. The ideal candidate will have a PhD or Master's in Computer Science, Machine Learning, or related fields, along with extensive experience in deep learning fundamentals, optimization, and modern ML frameworks like PyTorch and TensorFlow. Expertise in training large-scale models on distributed infrastructure is essential, as is a strong publication record in top AI conferences. The position requires hands-on research and development to advance internal LLM capabilities and integrate innovations into scalable production systems.

Skills

Python PyTorch TensorFlow JAX LLM GNN LoRA QLoRA adapters PEFT RLHF DPO diffusion models latent diffusion architectures multimodal foundation models distributed compute infrastructure GPU-accelerated computing CI/CD

What you'll do

  • Lead research and development of state-of-the-art generative AI systems, including diffusion models.
  • Design and optimize large-scale AI models for creative content generation.
  • Develop parameter-efficient adaptation techniques for foundation model customization.
  • Advance internal LLM capabilities through training, fine-tuning, evaluation, and optimization.
  • Research and implement Graph Neural Network (GNN) architectures for complex data modeling.

What we're looking for

  • PhD or Master's in Computer Science, Machine Learning, AI, or related field.
  • 7+ years of experience in advanced ML research and development.
  • Strong publication record in top-tier AI conferences/journals.
  • Deep expertise in deep learning fundamentals, optimization, representation learning.
  • Proficient programming skills in Python with modern ML frameworks like PyTorch.
  • Experience training large-scale machine learning models on distributed infrastructure.
  • Expertise in developing and fine-tuning generative AI systems for creative content.

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