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Software Engineer - On Device Machine Learning

On-site in Guildford·Added 13 days ago (last checked 29 Sept)

Electronic Arts

17 open roles

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Overview

Requirements

Work on-site in Guildford
No relocation package mentioned.
Have 5+ years of experience
Mid-level role.

Skills

Requirements

What we're looking for

5+ years of hands-on software engineering experience with C++, including a understanding of multithreading and performance optimization.
Experience profiling and optimising real-time software.
Practical experience with software engineering fundamentals, including version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile development.
Knowledge of ML frameworks such as PyTorch or TensorFlow.
Experience building and shipping end-to-end ML systems in real-world production environments.
A BSc or MSc in Computer Science, Engineering, Mathematics, or equivalent professional experience.
Knowledge of GPU programming.
Experience with game programming.
Knowledge of ONNX or other intermediate representations for ML model graphs..

The role

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.

We are looking for a Software Engineer with expertise in developing and integrating runtime machine learning solutions to join our team. You will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers to bring ML models into the hands of our players by deploying them directly within EA games.

What you'll do

Evaluate, adapt, extend, and improve existing machine learning runtime technologies, while designing and implementing new solutions from the ground up when needed.
Partner with ML experts across EA to assess, apply, and scale models and architectures for on-device performance.
Translate ML concepts, tradeoffs, risks, and technical constraints into clear language for different audiences.
Build end-to-end solutions for running machine learning models across a variety of devices.
Write clean, well-documented, and well-tested code that integrates smoothly with existing systems.
Stay current with advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields by exploring industry developments, identifying relevant research, and proposing ways to apply it.
Contribute to Frostbite's and EA's ML/AI communities by sharing knowledge, collaborating with partners, and mentoring teammates.

Locations

Locations: Guildford, Surrey, United Kingdom

Hiring process

4 steps3 interviewsa task to doTimelines vary in all

Recruiter call
With a recruiter
After reviewing your application a recruiter schedules a call about your background, the position and the hiring team.
Hiring manager call
With a hiring manager
A call with the hiring manager; you are encouraged to ask questions.
Technical tests, case studies or whiteboard exercises
Not every role
When applicable; the recruiter tells you what to expect, and in some cases these are completed before the interviews.
Interview day
With several EA teammates
Zoom interviews scheduled by a talent coordinator, or an onsite day, with a number of EA teammates.

After the interviews the recruiter shares feedback and next steps.
Interviews are virtual over Zoom or onsite; the recruiter provides details for in-person visits.

About Electronic Arts

Industry: Video Games
Founded: 1982
Employees: 10,000–20,000
Headquarters: Redwood City, USA
Website: ea.com

In their own words

Additional information

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.

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