Alberta Machine Intelligence Institute (Amii)

Machine Learning Engineer

• Report to an Amii Scientist and regularly consult with the Client team
• Research, evaluate, and benchmark graph retrieval strategies to enhance an existing hybrid RAG pipeline with a GraphRAG layer
• Research methodologies for building and populating domain-specific knowledge graphs from unstructured regulatory and legal text
• Perform entity extraction and relation extraction and design graph schemas
• Design and evaluate graph retrieval strategies against a baseline hybrid search pipeline using real-world queries and measurable evaluation metrics
• Improve context quality, enable multi-hop reasoning, and reduce retrieval noise across large document collections
• Take the chosen solution through production implementation and optimize performance and retrieval quality
• Build, train, and evaluate features for LLM applications across design, experimentation, and deployment
• Collaborate with project team and stakeholders to develop MVP and client-focused solutions
• Undertake applied research to address limitations in existing models
• Participate in regular client meetings and prepare presentations and reports on findings and progress
• Produce work potentially publishable to a respected conference or journal

Explore Machine Learning Resident – Client: Ultimarii at Alberta Machine Intelligence…. Review requirements and application details.

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Machine Learning Resident – Client: Ultimarii