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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and evaluating generative models and algorithms, with a strong foundation in machine learning and statistical methods. Proficient in translating research into practical applications using advanced programming skills and collaborative approaches.

Highest-signal resume keywords

PhD In Machine LearningGenerative Machine LearningExperience With PyTorchStrong Programming Skills In PythonDiffusion Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

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

Soft Skills

CollaborationResearch Translation

Tools & Technologies

PyTorchJAX

Industry Keywords

Machine LearningComputer ScienceStatisticsApplied Mathematics

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