Machine Learning Engineer (LLM)

We are seeking a ML Engineer with expertise in large language models (LLMs) to lead the development of AI solutions that translate building regulations into structured, machine-readable formats.

In this role, you will design, fine-tune, and integrate LLMs to interpret regulatory text and map it to BIM (Building Information Modeling) data for automated compliance checking.

You’ll work at the intersection of NLP, rule formalization, and BIM systems, collaborating with cross-functional teams to ensure accurate translation of complex regulatory clauses into actionable queries.

Key Responsibilities:

• Develop LLM-based pipelines to extract structured rules from regulatory texts
• Translate unstructured legal/technical language into machine-processable rule schemas
• Enable NLP-driven querying of IFC metadata within BIM models
• Align LLM outputs with BIM ontologies and data schemas
• Integrate and refine models within a larger compliance-checking pipeline

Qualifications:

• Strong background in NLP, LLMs (e.g., GPT, BERT), and prompt engineering
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, HuggingFace)
• Experience working with structured data formats (JSON, XML) and rule representations
• Familiarity with BIM data (IFC) and building regulations is a plus
• Excellent analytical and problem-solving skills

This is a unique opportunity to build cutting-edge AI systems at the intersection of NLP and the built environment.

This is a 3 month remote work contract, with potential for further extension