Research Scientist – Large Tabular Models (LTMs)
Granica · Bay Area Office
CHECKED 4H AGO
Infrastructureonsite$160k–$240k
At a glance
Highlights
- Build foundation models that learn natively from structured enterprise data.
- Invent algorithms for data selection, augmentation, and compression.
- Prototype generative models over tables, transactions, and telemetry.
What they offer
- Meaningful equity
- Performance bonus for top performers
- 401(k) with company match
- Comprehensive health coverage
- Unlimited PTO
- Daily catered meals in Mountain View office
- Support for research, publication and conference participation
Ideal candidate
A curious, first-principles ML researcher passionate about generative AI for structured data and motivated to turn novel ideas into working systems.
Requirements
- PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics or related field
- Strong research record in machine learning
- Experience developing new models or learning algorithms
- Hands-on experience with PyTorch or JAX
- Strong programming skills in Python
- Ability to turn research ideas into working systems
- Experience in structured, representation, generative, probabilistic, statistical learning or scalable ML systems
- remote policy
- On-site
Lab profile
About Granica
Builds efficiency and intelligence layer for enterprise AI on massive structured data
What they build
- Crunch for lakehouse optimization
- Large Tabular Models (LTMs) for structured data
- Myelin for efficient AI agents
Known for
- Exabyte-scale enterprise data infrastructure
- Foundation models for tabular data
- Diffusion-based generative modeling
Key facts
- Headquartered in Mountain View, CA