GenAI Research Scientist - Game Development

WOYMMM LIMITED • London, ENG, GB

Actively Hiring

Full-time $63k Posted 5 months ago

Role overview

check_circle Prototype and evaluate novel generative systems for game content, including 2D/3D assets, characters, environments, and narrative systems.
check_circle Design scalable model training pipelines tailored to interactive and real-time applications.
check_circle Bridge the gap between research and production by deploying AI systems into live or in-development game projects.
check_circle Collaborate closely with game designers, artists, and engineers to build AI tools that enhance creativity and production efficiency.
check_circle Explore new architectures and methods for controllable and style-consistent generative models in games.

check_circle Design and implement generative AI systems tailored to game production workflows.
check_circle Train, fine-tune, and evaluate large-scale ML models for asset creation, gameplay systems, or player interaction modeling.
check_circle Conduct large-scale experiments to measure model quality, player impact, and production efficiency gains.
check_circle Develop internal AI tools that assist artists, designers, and developers.
check_circle Collaborate cross-functionally to ensure research outcomes translate into measurable product improvements.
check_circle Contribute technical documentation, research publications, or knowledge-sharing initiatives.

PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Graphics, or a related field, or equivalent practical experience in applied research.
Experience in one or more of the following areas: generative models, computer vision, machine learning, large language models, diffusion models, or multimodal AI.
Strong programming skills in Python and experience building research prototypes.
Track record of research contributions through publications, open-source projects, technical blogs, or conference submissions (e.g., NeurIPS, ICML, ICLR, CVPR, SIGGRAPH, etc.).

2+ years of hands-on coding experience in ML or AI-related projects.
Experience leading or initiating research directions or independent projects.
Experience with PyTorch, JAX, or similar deep learning frameworks.
Practical experience training, fine-tuning, or deploying large-scale models (e.g., LLMs, diffusion models, multimodal systems).
Strong quantitative analysis skills and experience working with gameplay data or user interaction data.
Interest in game development, interactive systems, or procedural content generation.

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