E
Epic Games

Machine Learning Internship

Expired
Applications closed: 07/09/2026
Internship
£40,000+

Similar jobs

Sectors

Technology
Data science

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
Heads up! This job comes from an external source and hasn’t been reviewed by our team. Spot something off? Hit 'Report job' and let us know.

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