Granica · 2 months ago
Research Scientist - Applied AI
Bay Area Office
Full-time
Onsite
Senior Level
$160K/yr - $250K/yrGranica is an AI research and systems company building the infrastructure for a new kind of intelligence. The Research Scientist will invent and prototype algorithms for structured AI, develop adaptive learners, and collaborate with the research group to transform theoretical ideas into production-grade systems.
Artificial Intelligence (AI)Information TechnologySoftware
Responsibilities
Invent and prototype algorithms that define the foundations of structured AI, advancing representation learning and efficient information modeling for enterprise and tabular data at petabyte scale
Develop adaptive learners that fuse statistical learning theory with large-scale systems optimization, contributing to a new generation of foundational models for structured information
Design architectures that integrate symbolic, relational, and neural components, enabling AI systems to reason directly over structured enterprise data
Build cost models and optimization frameworks that make structured learning efficient, both computationally and economically
Collaborate closely with the Granica Research group led by Prof. Andrea Montanari (Stanford) and with systems engineers to transform theoretical ideas into production-grade systems used across live enterprise workloads
Iterate fast: prototype new model architectures, evaluate on live datasets, and publish results that advance both theory and practice
Contribute to the global research community shaping the future of structured AI and efficient learning
Qualification
Required
PhD in Machine Learning, Statistics, Applied Mathematics, or a related field with specialization in structured, tabular, or relational data modeling
Research or applied work in areas such as representation learning, generalization theory, probabilistic modeling, or foundational models
Strong grounding in information theory, optimization, or statistical inference
Hands-on experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and proficiency in Python or Rust for large-scale experimentation
Demonstrated ability to translate theoretical ideas into performant, reliable systems
Curiosity about how structure and relational information can drive new forms of generalization and reasoning in AI
A pragmatic, impact-driven approach to research: you care about elegance, but you ship results that work at scale
Preferred
Research experience in structured representation learning, embeddings, or model architectures for tabular and multimodal data
Familiarity with distributed data systems, query engines, or large-scale learning infrastructure
Contributions to open-source projects or collaborative research bridging theory and production
Benefits
Flexible time off plus 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
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