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Granica
San Francisco Bay Area, United States
Source: Granica careers · View original posting
From Granica's posting. “We” and “our” refer to the employer.
Mountain View, CA (On-site)
Overview
Diffusion models have transformed image, video, and multimodal AI.
We're applying those ideas to one of the next frontiers in machine learning.
At Granica, we're building
Large Tabular Models (LTMs)
—foundation models designed to learn natively from enterprise data. Realizing that vision requires new generative modeling techniques capable of learning from structured information at scale.
Our research is led by
Prof. Andrea Montanari (Stanford) and explores a fundamental question:
How can diffusion models enable the next generation of AI for enterprise data?
If you're excited about inventing new generative learning algorithms and applying them to entirely new domains, we'd love to talk.
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.
Compensation
, and scale both efficiently.
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