Granica reduces the cost of enterprise AI across data storage, data processing, and agent compute. Everything runs inside your perimeter, and you keep the intelligence your data builds. Backed by NEA.
About the role
Diffusion models have transformed image, video, and multimodal AI. We're applying those ideas to one of the next frontiers in machine learning. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field preferred, equivalent research and/or industry experience and demonstrated contributions to advancing state-of-the-art AI models will also be considered
- Strong research record in generative machine learning
- Experience developing new generative models or learning algorithms
- Hands-on experience with PyTorch or JAX
- Strong programming skills in Python
- Ability to turn research ideas into working systems
More about this role
Work Model: On-site, 5 days/week
Granica helps enterprises run AI for less, from the data layer to agent execution .
Crunch reduces storage and processing costs across enterprise data infrastructure.
Large Tabular Models unlock predictions and generated data from governed enterprise tables.
Myelin reduces token and compute overhead for long-running AI agents.
Everything runs inside the customer’s perimeter, so enterprises retain control of their data and the intelligence it creates.
Granica has already processed hundreds of petabytes of enterprise data in production for customers including Snap, Pinterest, Lyft, and ShareChat .
Our research organization is led by Stanford Professor Andrea Montanari .
We operate at the intersection of data infrastructure, AI systems, and applied research , building the efficiency and intelligence layer for enterprise AI.
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...
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