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Machine Learning Internship

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Remote

Machine Learning Internship

Epic Games

Machine Learning Internship

Skills

Deep LearningPythonC#NumPyPyTorchData AnalysisMachine LearningAINLP / Natural Language Processing

2 months ago

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Important information


Salary:

$111,223 – $166,834 / year

Location:

United Kingdom

Work mode:

Remote

Published on:

18 August 2026

What they need


Who you are

  • 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, NumPy, SciPy, scikit-learn)
  • Desirable: Game dev experience in either C++ or C# (including personal projects)
  • Internship Details
  • 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

What the job involves

  • 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

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