Machine Learning Intern
Epic Games2 months ago
London, United KingdomIntern
Responsibilities
- Create machine learning models for player safety, game agents, world and scene generation, game logic generation, developer tools, and user experience
- Work with research scientists and engineers on applied research problems
- Own data analysis and data creation with support from an internal labelling team
- Design, implement, and experiment with models end to end
- Gain exposure to engineering work involved in deploying models at scale
Requirements
- 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 may also be considered
- Experience building models or algorithms in computer vision, natural language processing, or speech, audio, or acoustic processing
- Hands-on knowledge of modern deep learning methods including Transformers, LLM fine-tuning, and diffusion models
- Strong coding skills in Python and the standard machine learning stack, including PyTorch, NumPy, SciPy, and scikit-learn
- Existing authorization to work in the UK, US, or Canada for the full internship duration
- C++ or C# game development experience, including personal projects, is desirable
Benefits
- Paid internship lasting 6-12 months
- Flexible start dates throughout 2026/2027
- Full-time option at 40 hours per week or part-time option at 20 hours per week
- Available in select regions within the UK, US, or Canada
- Visa sponsorship or support is unavailable; applicants must already have authorization to work in the posting location
Categories
About Epic Games
Epic Games builds Fortnite and operates the Epic Games Store, and develops Unreal Engine and Epic Online Services for game studios and creators. Its business model spans game sales and in-game purchases, Unreal Engine licensing and royalties, and revenue share from its storefront and services. Founded in 1991 and headquartered in Cary, North Carolina, this privately held company’s technology is also used in film/TV, architecture, automotive, and simulation.