Cambridge Residency Programme: AI Researcher in Interactive Generative AI systems
Tasks
- Collaborate with interdisciplinary teams
- Design experimentation workflows
- Develop generative AI models
- Distill research insights into papers and presentations
- Evaluate new AI approaches
- Implement generative AI prototypes
- Run deep learning experiments
- Scale training workloads on GPU clusters
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Autoregressive models | Computer Vision | Data Pipelines | Deep learning | Diffusion Models | Evaluation Pipelines | Experimentation | Fine Tuning | GPU clusters | Generative Models | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Training | Multi-node | Multi-node Training | Multimodal Learning | Natural Language | Natural Language Processing | Orchestration | Software Engineering | Tool Using | Tool-using systems | Training pipelines
Education
Roles
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