Applied AI Research Resident

Advance applied AI research in retrieval-augmented generation and uncertainty quantification through a paid twelve-month Residency with Amii. Help develop deployable real-world machine learning applications.

As an Applied AI Research Resident, you will work with research and machine learning scientists on a Mode Di project for real estate appraisal. The system combines company and public data to support property analysis while preserving source traceability and appraiser judgment. Your work spans document and table understanding, evaluation, secure infrastructure, and agentic AI systems. You will report to an Amii Scientist, consult Mode Di’s team, and participate in knowledge transfer.

• Conduct applied research in retrieval-augmented generation and document understanding
• Analyze uncertainty quantification and confidence calibration for outputs
• Parse mixed text and tabular municipal planning content
• Implement role-based access control and auditable usage logging
• Present project progress through client meetings and reports

• Graduate degree specializing in NLP, machine learning, or Applied AI
• Applied experience with large language models and agentic systems
• Python proficiency with PyTorch and Hugging Face Transformers
• Experience with document parsing or retrieval-augmented systems
• Clear communication and independent critical thought

Develop reliable real estate AI research through retrieval, evaluation, secure infrastructure, and uncertainty-focused machine learning applications.