Machine Learning Intern

WHAT MAKES US EPIC?

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.

The Special Projects team at Epic is responsible for executing high-impact projects that push the envelope to define the future of real-time graphics and gaming technology (The Matrix Awakens, Lumen in the Land of Nanite). In collaboration with the Unreal Engine team, we strive to put our technology and knowledge into the hands of users, empowering developers and content creators with the most powerful suite of real-time tools in the world.

Epic Games is looking for current PhD students and recent PhD or MSc graduates (within 12 months of graduation) for paid, 6-12 month research internships with our Special Projects & Epic Research Group. You will work with our team of research scientists and engineers at the intersection of vision, language, speech processing and game development to create machine learning models in a range of areas to support game developers and improve user experience.

• Create machine learning models in areas including player safety, game agents (e.g. AI-backed characters, VLA agents), world/scene and game logic generation, developer tools, and improved user experience
• Work alongside our team of research scientists and engineers on applied research problems
• Own data analysis and data creation, supported by an internal team of labellers
• Design, implement, and experiment with models end to end
• Gain exposure to engineering work around deploying models at scale

• An ongoing or recently completed (within the last 12 months) PhD in Computer Science, Mathematics, AI or a related field - recent MSc graduates in the same fields will also be considered
• Experience building models or algorithms in computer vision, natural language processing, or speech/audio/acoustic processing
• Hands‑on knowledge of modern deep learning methods, such as Transformers, LLM fine‑tuning, and diffusion models
• Strong coding skills in Python and the standard ML stack (PyTorch, Num Py, Sci Py, scikit‑learn)
• Desirable:
  Game dev experience in either C++ or C# (including personal projects)

• Duration: 6-12 months, with flexible start dates throughout 2026/2027
• Hours: full-time (40 hours/week) or part-time (20 hours/week)
• Location: Select regions within the UK, US or Canada
• Employment Authorization: You must hold an existing right to work in the UK, US or Canada for the full duration of the internship - Visa sponsorship or support is unavailable for this role

This internship has a flexible start date in 2026/2027. Recruitment will be ongoing until teams find an ideal match. Applicants must be legally authorized to work in the posting location for the duration of the internship. For more information about Epic’s Early Career Program, visit  This is going to be Epic!

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.