Research Scientist, Relational Foundation Models

About Avra

Avra is building relational foundation models for enterprise decision-making in Brazil.

Our work focuses on graph-native models for structured, high-stakes prediction problems: credit, fraud, growth, monitoring, and other decisions where entities cannot be understood in isolation. We model companies, people, and the relationships between them as evolving networks, then adapt those representations to customer-specific prediction tasks that plug into existing decisioning systems.

We work with internationally recognized research advisors, and we care about research that becomes useful in production.

The role

This is an applied scientist role with real modeling depth.

You will help evolve the thesis, architecture, and applications of Avra’s relational foundation models: how we train them, how we adapt them to specific tasks, and how they generalize across use cases.

Day to day, you’ll move between papers, code, experiments, and production constraints. The goal is not to try interesting ideas for their own sake. The goal is to find which ideas improve real downstream models under realistic deployment conditions.

We run a weekly research review. Strong papers matter; shipped models