Research Scientist – Diffusion Models

Granica is building Large Tabular Models (LTMs) designed to learn natively from enterprise data. The Research Scientist will develop novel diffusion models and generative learning algorithms while collaborating with a renowned research team to translate research into production systems.

Responsibilities:

• Develop novel diffusion models and generative learning algorithms
• Research new representation learning techniques for Large Tabular Models
• Design efficient training methods for large-scale generative models
• Prototype and evaluate new generative modeling approaches
• Design rigorous experiments and benchmarks to measure model quality and efficiency
• Collaborate closely with Prof. Andrea Montanari and Granica's research team to translate research into production systems