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Instructure

Senior Applied Data Scientist, Retrieval and Semantic Systems

Instructure

Senior Applied Data Scientist responsible for building AI-powered retrieval systems for Instructure's education technology. Collaborating with teams to design and enhance AI product capabilities.

Posted 6/3/2026full-timeBudapest • 🇭🇺 HungarySeniorWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Design, build, and ship production retrieval systems that power AI product capabilities across multiple products
  • Own vector store selection and operation, including scalability, latency, reliability, cost, and multi-tenant design
  • Build and operate indexing and refresh pipelines: chunking, embedding generation, backfills, deletes, and versioned indices
  • Implement semantic and hybrid retrieval: embeddings, similarity search, lexical and vector combination, metadata filtering, and reranking
  • Own retrieval evaluation as a first-class system: gold sets, offline relevance metrics, slice analysis, drift detection, and regression gates that block bad changes from shipping
  • Make and defend the core tradeoffs of the domain: relevance against latency against cost against operational complexity
  • Partner with AI Platform and infrastructure engineers on deployment, observability, and reliability, and with product and research partners on relevance requirements

Requirements

What you’ll need
  • 6+ years of experience building and shipping production machine learning or applied AI systems
  • Proven ownership of a retrieval system in production, including vector store selection and operation
  • Strong Python skills and experience building services and APIs (for example, FastAPI or similar)
  • Solid grounding in embeddings, approximate nearest neighbor search, and retrieval and ranking systems
  • Experience designing indexing and refresh strategies, with data quality controls and safe backfills
  • Demonstrated ability to define and run retrieval evaluation: building gold sets, choosing relevance metrics, analyzing failures by slice, and preventing regressions
  • Strong tradeoff judgment across relevance, latency, cost, and operational complexity

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Pythonmachine learningapplied AIretrieval systemsembeddingsapproximate nearest neighbor searchindexing strategiesretrieval evaluationAPIsFastAPI
Soft Skills
ownershiptradeoff judgmentanalytical skillscollaborationcommunication