Research Scientist – Diffusion Models
Granica · Bay Area Office
CHECKED 4H AGO
Infrastructureonsite$160k–$240k
At a glance
Highlights
- Invent novel diffusion models for Large Tabular Models.
- Design efficient training methods for large-scale generative models.
- Translate research into production with Prof. Andrea Montanari.
What they offer
- Meaningful equity and performance bonus
- 401(k) with company match
- Comprehensive health coverage and unlimited PTO
- Daily catered meals in Mountain View office
- Support for research, publication and conference participation
Ideal candidate
A curious research inventor with a PhD mindset who loves creating new generative algorithms and turning ideas into working systems for entirely new domains.
Requirements
- PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics or related field
- Strong research record in generative machine learning
- Experience developing new generative models or learning algorithms
- Hands-on experience with PyTorch or JAX and strong Python skills
- Ability to turn research ideas into working systems
- Experience with diffusion models, representation learning or scalable ML systems
- Publications at NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV or related venues
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