Granica · 6 days ago
Research Scientist – Tabular & Structured Machine Learning
San Francisco Bay Area
Full-time
Onsite
Senior Level
$160K/yr - $250K/yrGranica is a company focused on improving the efficiency of data infrastructure for AI. They are seeking a Research Scientist to invent and prototype algorithms for structured and tabular data, contributing to the development of large tabular models and structured foundation models.
Artificial Intelligence (AI)Information TechnologySoftware
Responsibilities
Invent and prototype algorithms that advance the foundations of machine learning for 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
Design architectures integrating relational, symbolic, and neural learning components
Research and implement methods for dataset compression, selection, and representation to improve learning efficiency
Develop cost models and optimization frameworks for large-scale structured learning systems
Collaborate closely with the Granica research group led by Prof. Andrea Montanari (Stanford) and with systems engineers
Rapidly prototype new algorithms and evaluate them on real enterprise datasets
Publish and contribute to the broader research community shaping the future of structured AI and efficient ML systems
Qualification
Required
PhD in Machine Learning, Statistics, Computer Science, Applied Mathematics, or a related field
Research experience related to structured, relational, or tabular data
Experience in one or more of the following areas: Tabular or relational machine learning, Representation learning for structured data, Statistical learning theory or generalization, Probabilistic modeling or Bayesian inference, Optimization for machine learning, Scalable or distributed ML systems
Experience working with structured datasets or relational data systems
Strong grounding in statistics, optimization, information theory, or probabilistic inference
Hands-on experience with PyTorch, JAX, or TensorFlow
Strong programming skills in Python or Rust
Demonstrated ability to translate theoretical ideas into working systems or prototypes
Curiosity about how structure and relational information enable new forms of learning and reasoning
A pragmatic research mindset: you value elegant ideas but also ship systems that work at scale
Preferred
Research in tabular machine learning, relational representation learning, or structured data modeling
Experience building large-scale ML infrastructure or distributed training systems
Familiarity with data systems, query engines, or dataset optimization pipelines
Publications at top venues such as NeurIPS, ICML, ICLR, COLT, KDD, AAAI
Contributions to open-source ML systems or research-to-production tooling
Benefits
Meaningful equity
Substantial bonus for top performers
Flexible time off
Comprehensive health coverage for you and your family
Support for research, publication, and deep technical exploration
Company
Granica
Granica is the world's first AI Data Readiness Platform, creating cutting-edge and enterprise-ready AI infrastructure services.
Founded in 2019
11-50 employees
H1B Sponsorship
Granica has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2026 (3)
2025 (4)
2024 (7)
2023 (2)
Funding
Current Stage
Early StageTotal Funding
$45MKey Investors
New Enterprise Associates
2023-06-08Series A· $45M
2020-01-01Seed
Leadership Team
Rahul Ponnala
CEO & Co-Founder
Recent News
Google Patent
2025-02-07
Company data provided by crunchbase