Machine Learning Intern
Epic Games2 months ago
Montréal, CanadaIntern
Responsibilities
- Create machine learning models for player safety, game agents, world and scene generation, game logic generation, developer tools, and user experience.
- Collaborate with research scientists and programmers on applied research problems.
- Own data analysis and data creation with support from an internal labeling team.
- Design, implement, and experiment with models end to end.
- Gain exposure to deploying models at scale.
Requirements
- Must be pursuing or have completed within the last 12 months a PhD or MSc in Computer Science, Mathematics, AI, or a related field.
- Experience building models or algorithms in computer vision, natural language processing, or speech/audio/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.
- Game development experience in C++ or C#, including personal projects, is desirable.
- Must have existing authorization to work in the UK, US, or Canada for the full internship duration; visa sponsorship or support is unavailable.
Benefits
- Paid internship lasting 6–12 months with flexible start dates throughout 2026/2027.
- Full-time option at 40 hours/week or part-time option at 20 hours/week.
- Located in select regions within the UK, US, or Canada.
- Applicants must have existing authorization to work in the UK, US, or Canada; visa sponsorship is unavailable.
- Collaborative and inclusive work environment at Epic Games.
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.