Machine Learning Intern
Core
Create machine learning models for player safety, game agents, world/scene generation, and developer tools to support game developers and improve user experience.
Role type
Research intern (PhD/MSc level)
Builds
Machine learning models for real-time graphics and gaming technology
Domain
Gaming / Computer Vision / NLP / Speech Processing
Deliverable
production ML models
Required skills
Deep learning methods (Transformers, LLM fine-tuning, diffusion models), Computer Vision, Natural Language Processing, Speech/Audio/Acoustic processing, Python, PyTorch, NumPy, SciPy, scikit-learn
Preferred skills
Game development experience (C++ or C#)
Technologies
PyTorch, NumPy, SciPy, scikit-learn, Transformers, LLMs, Diffusion models
Responsibilities
Create machine learning models in areas including player safety, game agents, world/scene and game logic generation, and developer tools; Work alongside research scientists and engineers on applied research problems; Own data analysis and data creation; Design, implement, and experiment with models end to end; Gain exposure to engineering work around deploying models at scale
Seniority
Intern (PhD/MSc level)
