Senior Research Engineer (Worlds)

Electronic Arts; Vancouver; Hybrid; CAD 214,000 - 271,000; Full time

Job summary

Electronic Arts is seeking a Senior Research Engineer to join the Worldsresearch pillar. The role focuses on advancing game world authoring tech with machine learning. You will prototype within the game engine and collaborate with researchers, engineers, artists, and designers.

The position is hybrid, with work days in Redwood City, Montreal, or Vancouver, reporting to the Director of Research. You will push the boundaries of what’s possible in games research.

Qualifications

• Advanced research background in CS or STEM with PhD/masters or equivalent.
• Proven expertise with Vision-Language Models and computer vision methods.
• Experience translating ideas into functional prototypes or demos.
• Strong Python and ML framework skills (PyTorch or TensorFlow).
• Combined academic and professional experience of 7+ years.

Responsibilities

• Partner with researchers, engineers, artists, and designers to translate prototypes into production-ready engine features.
• Develop novel ideas by researching and implementing solutions to complex game development challenges.
• Contribute to applied research in scene understanding, spatial reasoning, and visual quality evaluation.
• Build compelling demos that showcase world-building solutions integrated into modern game engine tech.
• Contribute to team learning by sharing findings and best practices and helping others succeed.

Skills

Vision-Language Models

Computer Vision

Model training

Inference

Python

ML frameworks

Education

PhD or Masters in CS or related

Tools

PyTorch

TensorFlow

Git

Job description

• Redwood City
• California
• United States of America

Role ID

216278

Worker Type

Regular Employee

Studio/Department

Other

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.

Creator-made content is already a proven part of EA's history — from community creation tools in Battlefield to The Gallery in The Sims 4. We believe new creative technologies and tools will expand how players engage with and contribute to our experiences, supported by thoughtful product design, safety systems, and global reach. Our focus is on enabling more players to participate in creative expression by making creation easier, safer, and more rewarding.

We are looking for a Senior Research Engineerto join our Worldsresearch pillar and help redefine game world authoring technologies. We sit at the intersection of traditional artistry and breakthrough Machine Learning, building the tools that will shape future virtual worlds. This is an applied research role: you will bring your boldest ideas to life inside the game engine, crafting high-impact prototypes and demos that turn complex science into practical creative superpowers.

We are looking for an open and curious person; someone who gets a kick out of taking new ideas, investigating them, and adapting their application to games. You need a genuine interest in video games paired with a critical understanding of how AI can be built for games, including the ability to form your own insights on how you can improve it. You will partner with other researchers, engineers, artists, and designers. You have a desire to explore new areas of game development: someone who is passionate, creative, communicative, and invested.

This is a hybrid role, 3 days a week at our office in Redwood City (California), Montreal or Vancouver (Canada) studio.

The Senior Research Engineer will report to the Director of Research.

Responsibilities:

Partner with researchers, engineers, artists, and designers to translate prototypes into production-ready engine features, ensuring alignment with existing systems.

Develop novel ideas by researching and implementing solutions to some of the most complex challenges in video games.

Contribute to applied research in areas such as scene understanding, spatial reasoning and visual quality evaluation. This includes engineering work around integration, scaling, training, development, and support.

Build compelling demos that highlight powerful novel solutions for world-building in games, with a focus on integration into modern game engine technologies.

Contribute to team learning,share findings and best practices, help others in the team succeed, and push the boundaries of what is possible in games research.

Qualifications:

Advanced Research Background:A degree in Computer Science, a STEM field, or equivalent practical experience related to Game Content Creation.

Technical expertise:Proven expertise with Vision-Language Models (VLMs), Computer Vision methods (including depth estimation and video segmentation), as well as hands‑on experience with model training and inference.

Practical experience: Experience translating ideas into functional prototypes or demos that showcase concepts in practice.

Tooling Proficiency: Strong skills with development on Python and ML frameworks (PyTorch or TensorFlow), along with agentic frameworks.

Experience & Education Requirements:Combined experience 7+ years between graduate degree research (PhD, Masters) and professional/research experience.

We are a diverse, goal‑driven team that offers real influence and autonomy to every member. Our ideal candidate is curious, open‑minded, and thrilled by exploring fresh concepts and tailoring them for game development. If you are a passionate, creative, and communicative individual who is deeply invested in innovating across new domains of gaming, we want you on our team.

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

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 other incentive programs.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top‑up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full‑time employees. Certain roles may also be eligible for bonus and other incentive programs.

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.