Teams at Davis

Six-month full-time internship supporting leadership across go-to-market strategy, client acquisition, business planning, and product improvement. Responsibilities include analyzing markets and client needs, preparing presentations and prospecting materials, contributing to client deliverables, formalizing workflows, testing AI-enabled tools, and maintaining the business plan. The role requires strong analytical, synthesis, presentation, writing, and interpersonal skills, with fluency in French and English and an interest in AI and real estate.

Build reliable multi-agent AI systems for real-estate workflows. Responsibilities include developing Python delivery pipelines, context assembly, tool orchestration, verification, report generation, data extraction, evaluation harnesses, observability, regression datasets, and production-quality reliability. The intern will collaborate with architects, clients, and domain experts while working with regulatory, financial, market, and geospatial data.

Own the end-to-end data strategy for a foundation model generating building geometric graphs. Build pipelines converting floorplans into canonical graphs, generate synthetic data, curate and validate datasets, design pretraining mixtures, run large-scale training and ablations, and develop evaluation infrastructure. The role requires hands-on Python engineering, distributed data processing, data quality systems, and experience personally building datasets for pretraining.