Senior Data Scientist, Applied AI

Hungary·Budapestfull-timesenior

Data ScientistData

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Quick Summary

Overview

At 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…

Technical Tools

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Responsibilities

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Architect, build, and deploy production ML/AI systems that power customer-facing product capabilities
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Design and operate scalable inference services, APIs, and backend components for model-driven applications
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Build and improve data, feature, deployment, and orchestration pipelines on AWS across development, staging, and production environments
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Productionize AI workflows with strong MLOps practices, including CI/CD, versioning, testing, monitoring, rollback, and operational reliability
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Define and implement evaluation frameworks for model quality, system reliability, latency, and cost, and use those signals to improve production performance
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Partner with product, research, and engineering teams to turn prototypes into robust, scalable services, while driving strong engineering standards in code quality, documentation, observability, and incident readiness

Requirements

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Experience building AI-native product features (not just internal analytics models)
Experience with vector databases, retrieval infrastructure, or semantic indexing pipelines
Experience with graph databases or graph-based reasoning systems
Experience with observability and evaluation for LLM or retrieval systems (quality metrics, drift, failure analysis)
Experience creating internal engineering standards, templates, or reference implementations adopted by multiple teams
Experience in education technology, learning systems, or knowledge/skills modeling
Experience mentoring engineers in a high-growth or platform-building environment

Influence architecture and engineering standards for AI systems
Shape reusable infrastructure and platform patterns
Mentor a growing team of AI/ML engineers
Turn advanced AI research into production value for educators and learners at scale

What We Offer

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Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities.

At Instructure, we’re on a mission to help educators and students learn together, anytime, anywhere, and however works best. You’ll join our Advanced Development team, a research-driven group tackling education’s biggest challenges with cutting-edge technology. Our projects have included making sense of unstructured feedback, applying large language models to save teachers’ time and improve student experiences, classifying partner networks for smarter recommendations, and detecting fraud to protect resources for real learners.

We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you’ll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth.

We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
Comprehensive wellness programs and mental health support
Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
The technology and tools you need to do your best work
Motivosity employee recognition program
A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.