Apply machine learning and large language model expertise through a paid twelve-month Residency building real estate appraisal AI systems. Work with Amii scientists and ModeDi regularly.
The Machine Learning Resident develops applied AI for ModeDi, a Manitoba-based technology company modernizing real estate data workflows. You will contribute to a secure LLM system combining internal and public data for property analysis. The work involves retrieval-augmented generation, document understanding, confidence estimation, and agentic AI systems. You will report to an Amii Scientist and collaborate with a cross-functional project team.
Key Responsibilities: Design and evaluate secure LLM systems supporting appraisal workflows
Develop retrieval pipelines for planning documents and zoning bylaws




Build citation-grounded generation and confidence estimation components
Create benchmarks, testing suites, and evaluation infrastructure
Collaborate with stakeholders on MVP and client-focused solutions
Requirements: Completed MSc or PhD in relevant computer science specialization
Experience with retrieval-augmented generation or LLM question answering
Proficiency in Python and contemporary AI frameworks
Familiarity with Linux, Git, and clean code
Legal eligibility to work in Canada
Build secure, traceable appraisal AI with machine learning, LLM, retrieval, and confidence estimation expertise during this Residency.

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📌 Machine Learning LLM Resident (Alberta)
🏢 Alberta-Machine-Intelligence-Institute-1
📍 Alberta