Tech Stack
Diffusion ModelsGenerative AIRepresentation LearningProbabilistic ModelingPytorchJaxPythonMachine LearningScalable ML Systems
Solid badges = required, outlined = preferred
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.
Soft Skills
Computer ScienceStatisticsApplied MathematicsResearch
Benefits
- 401k
- Equity
- Health Insurance
- Learning Budget
- Unlimited PTO
Culture
Cross-Functional TeamsTech TalksDocumentation-DrivenCustomer-ObsessedMission-Driven
Requirements
Required: PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field
Regions: Us
Get jobs like this in your inbox
Weekly Diffusion Models, Generative AI, Representation Learning 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: performance bonus