Tech Stack
Responsibilities
- Invent and prototype algorithms for machine learning on structured and tabular data
- Develop new representation learning techniques and information models for large enterprise datasets
- Build adaptive learners combining statistical learning theory, probabilistic modeling, and large-scale systems optimization
- Contribute to the development of large tabular models and structured foundation models
- Research and implement methods for dataset compression, selection, and representation to improve learning efficiency
Benefits
- 401k
- Equity
- Unlimited PTO
Culture
Deep Work FocusCross-Functional TeamsTech TalksCustomer-ObsessedFast-Paced
Requirements
Required: PhD in Machine Learning, Statistics, Computer Science, Applied Mathematics, or a related field
Regions: Us
Get jobs like this in your inbox
Weekly Next.js, Python, TypeScript hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About Granica
Industry: ai
Size: startup
Granica is building Large Tabular Models (LTMs) as foundation models for enterprise data, focusing on new generative modeling techniques and exabyte-scale data infrastructure.
View company profile →Compensation
Equity: meaningful equity
Bonus: substantial bonus for top performers