Research GraphRAG and large language models through a paid twelve-month residency focused on legal and regulatory compliance challenges.
As a Machine Learning Resident, you will report to an Amii Scientist and consult regularly with Ultimarii’s client team. You will research graph retrieval strategies, knowledge graphs, and applied natural language processing. The project supports an existing hybrid retrieval-augmented generation pipeline.
Key Responsibilities: Integrate a graph knowledge layer into an existing hybrid RAG pipeline
Build knowledge graphs from unstructured regulatory and legal text
Benchmark graph retrieval against baseline hybrid search pipelines
Develop and evaluate features for large language model applications
Present findings and progress to client stakeholders
Requirements: Graduate degree or higher in computing science, machine learning, or engineering
Research experience in NLP, knowledge graphs, and LLMs
Experience with LLM use cases and RAG architectures
Proficiency in Python and related machine learning frameworks
Legal eligibility to work in Canada
Apply your Python, NLP, knowledge graph, and LLM expertise to GraphRAG research with Ultimarii and Amii.

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📌 Machine Learning Resident GraphRAG (Alberta)
🏢 Amii
📍 Alberta