Állás részletei
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Cég neve
Instructure Hungary Kft.
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Munkavégzés helye
Távmunka / Remote -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- AWS PYTHON MACHINE LEARNING
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Elvárások
- Angol középfok
- 5-10 év tapasztalat
- Középiskola
Kis türelmet...
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Állás leírása
Responsibilities
- Design, build, and ship production retrieval systems
- Own vector store selection and operation including scalability, latency, reliability, cost, and multi-tenant design
- Build and operate indexing and refresh pipelines including chunking, embedding generation, backfills, deletes, and versioned indices
- Implement semantic and hybrid retrieval including embeddings, similarity search, lexical and vector combination, metadata filtering, and reranking
- Own retrieval evaluation as a first-class system including gold sets, offline relevance metrics, slice analysis, drift detection, and regression gates
- Make and defend the core tradeoffs of the domain including relevance against latency, cost, and operational complexity
- Partner with AI Platform and infrastructure engineers on deployment, observability, and reliability, and with product and research partners on relevance requirements
Requirements
- 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
- 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 including building gold sets, choosing relevance metrics, analyzing failures by slice, and preventing regressions
- Strong tradeoff judgment across relevance, latency, cost, and operational complexity
Nice-to-have
- Experience with hybrid retrieval including lexical and vector, learning to rank, or domain-specific reranking
- Experience integrating graph-structured context or knowledge graphs into retrieval
- Experience with evaluation and observability for LLM and retrieval systems including drift, failure analysis, and regression prevention
- Experience with AWS-native retrieval and indexing architectures
- Experience in edtech, content, curriculum, or skills modeling
What we offer
- Competitive compensation
- Participation in ownership program for full-time employees
- Flexible work culture with remote, hybrid, and in-office collaboration spaces
- Generous time off including local holidays and annual “Dim the Lights” period
- Comprehensive wellness programs and mental health support
- Learning and development resources including professional development tools and tuition reimbursement
- Provision of technology and tools needed to do best work
- Motivosity employee recognition program
- A culture rooted in inclusivity, support, and meaningful connection
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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