Cambridge Residency Programme: AI Researcher in Interactive Generative AI systems
Core
Research and develop novel generative AI models and capabilities to support creative processes and interactive workflows.
Role type
AI Researcher (Interactive Generative AI)
Builds
Novel generative AI models, prototypes, and experimental workflows for creative applications.
Domain
Artificial Intelligence, Generative Models, Interactive Systems
Deliverable
production ML models
Required skills
Deep learning research, Generative models (diffusion, autoregressive, world models), Multi-modal modelling, Large multimodal model training/fine-tuning, Agentic workflows and orchestration, Deep-learning frameworks, Software engineering practices, Multi-node GPU cluster scaling, Experimentation pipeline design, Academic publishing or open-source impact
Preferred skills
Game engines, Creative AI tooling, Interactive AI settings
Technologies
Multi-node GPU infrastructure, Deep-learning frameworks
Responsibilities
Implement and evaluate new conceptual and practical approaches, Generate novel ideas and run experiments, Design efficient experimentation workflows, Present ideas and participate in design decisions, Distill insights into research papers and presentations
Seniority
Master's or PhD level researcher
