Research Scientist – Diffusion Models

Granica

Research Scientist developing Large Tabular Models at Granica. Focusing on novel diffusion models and generative learning algorithms for enterprise data.

Posted 7/2/2026full-timeMountain View • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

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.
Collaborate closely with Prof. Andrea Montanari and Granica's research team to translate research into production systems.

Requirements

What you’ll need

PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field.
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.
Experience with diffusion models, score-based generative modeling, representation learning, probabilistic modeling, or scalable ML systems is particularly relevant.

Benefits

Comp & perks

Competitive salary, meaningful equity, and performance bonus for top performers
401(k) with company match, comprehensive health coverage, and unlimited PTO
Daily catered meals in our Mountain View office
Support for research, publication, and conference participation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Generative Learning AlgorithmsRepresentation Learning TechniquesLarge Tabular ModelsTraining Methods For Generative ModelsProbabilistic ModelingScalable ML SystemsScore-Based Generative Modeling

Soft Skills

CollaborationResearch Translation