Senior Applied Data Scientist, Learner Modeling
Instructure · Budapest, Hungary · Research & Development
About this role
Instructure is hiring a senior-level Applied Scientist in the machine learning function based in Budapest, Hungary. The posting calls out experience with Python, AWS, LLMs, Machine Learning. Compensation is listed at HUF 1,600,000–HUF 2,200,000 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Budapest, Hungary
- Department
- Research & Development
- Posted
- Mar 12, 2026
More roles at Instructure
Job description
from Instructure careersAt Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:
Our team builds AI-native capabilities, reusable AI systems, and shared infrastructure that power multiple products and workflows across the platform.
We are looking for a Senior Applied Data Scientist to develop and validate knowledge tracing and longitudinal models, defining what “mastery” means operationally, and ensuring the outputs are trustworthy, calibrated, and product-ready for learner and educator experiences. You will partner with AI platform engineers to productionize training and scoring pipelines and to monitor quality in live environments.
You will work closely with product, engineering, and research partners to turn advanced AI ideas into reliable product capabilities used at scale.
What You’ll Do
Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers
Define mastery and progression signals, model targets, and evaluation criteria aligned to learning outcomes and product requirements
This is an excerpt. Read the full job description on Instructure careers →