Graph Neural Network Jobs in Seattle, WA (NOW HIRING)

General Information
Locations: Kirkland, Washington, United States of America

• Location: Kirkland
• State: Washington
• Country: United States of America

Role ID
214205
Worker Type
Regular Employee
Studio/Department
Experiences
Work Model
Hybrid
Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We're a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love - in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment.
To empower more players and fans in new and amazing ways, we need more innovators to join our world-class team. The future of entertainment is interactive, and you can help lead that future, by growing and enriching how hundreds of millions of people (and counting) find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together.
About the Role
We are seeking a Senior AI/ML Research Scientist to advance the next generation of Generative AI capabilities across creative content generation and foundation models. This role will focus on developing, adapting, and optimizing state-of-the-art AI models, including diffusion models, LLMs, multimodal architectures, and Graph Neural Networks (GNNs).
You will drive research and development efforts and model architectures that enable scalable, high-quality content generation. The ideal candidate combines deep scientific expertise with hands-on experience building and training large-scale machine learning systems.
Working closely with cross-functional teams of engineers, product leaders, and domain experts, you will help define the organization's AI strategy and deliver breakthrough capabilities that leverage advances in GenAI and Deep Learning.
What You'll Do

• Lead research and development of state-of-the-art generative AI systems, including diffusion models, latent diffusion architectures, and multimodal foundation models.
• Collaborate with stakeholders to understand business needs and translate them into model requirements. Advise on what is possible and the impact that the models can drive.
• Design, train, fine-tune, and optimize large-scale AI models for creative content generation.
• Develop and apply parameter-efficient adaptation techniques, including LoRA, adapters, prompt tuning, and related methods for foundation model customization.
• Advance internal LLM capabilities through model training, fine-tuning, evaluation, alignment, and optimization.
• Research and implement Graph Neural Network (GNN) architectures to model complex relationships, knowledge graphs, recommendation systems, and structured data representations.
• Evaluate emerging research and rapidly prototype innovative approaches from leading conferences and publications.
• Collaborate with engineering teams to transition research innovations into scalable production systems.

Qualifications
Minimum Qualifications

• PhD or Master's in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• 7+ years of experience conducting advanced machine learning research and development with a track record of translating cutting-edge research into impactful products or platforms.
• Strong publication record in leading AI conferences or journals (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, KDD, AAAI, or equivalent).
• Deep expertise in deep learning fundamentals, optimization, representation learning, and neural network architectures.
• Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow.
• Experience in training and evaluating large-scale machine learning models on distributed compute infrastructure and GPU-accelerated computing environments

Preferred Qualifications

• Expertise in developing and training diffusion models, latent diffusion models, or related generative architectures.
• Experience fine-tuning foundation models using LoRA, QLoRA, adapters, PEFT techniques, RLHF, DPO, or similar approaches.
• Experience developing generative AI systems for image, video, audio, 3D, or other creative content domains.

Pay Transparency - North America
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* Washington (depending on location e.g. Seattle vs. Spokane) *$133,100 - $178,400 USD
Pay is just one part of the overall compensation at EA.
In the US, we offer a package of benefits including 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/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.