// Open Role at Epic Games
As a Machine Learning Programmer at Epic Games, you'll pioneer memory architectures for foundation models, developing scalable AI solutions that advance real-time entertainment and engine technology. Innovate at the core of game and engine development.
At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.
Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.
Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide.
As foundation models move from answering questions to acting over long horizons, memory becomes a central requirement. Systems must decide what is worth keeping and improve from experience. Large context windows and retrieval systems are not enough. You will work with researchers on projects across the company that require memory in different modalities to define general solutions that enable models to represent experience, decide what they keep and what they discard, and to efficiently store, retrieve and exploit memory.
This role is open to multiple locations across North America & Europe (including CA).
The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs).
California Base Pay Range
$184,481—$270,571 USD
Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.
Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.
Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.
- PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience. - Experience creating machine learning algorithms for vision and/or language problems and deploying them as production-level systems. - Expert, hands-on knowledge of foundational models and vision and/or language, including local deployment and model post-training of open weights models. - Expert, hands-on knowledge of memory, state, or long-horizon behaviour in foundation models (e.g., language agents, long-context methods, reinforcement learning under partial observability, world models, or sequence modelling). - Expert, hands-on knowledge of Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch). - Experience with working collaboratively with other developers, following a flexible and agile approach.