ML Research

• Develop and optimize computer vision, machine learning and NLP models for construction document analysis
• Research and implement state-of-the-art techniques for construction document analysis and error detection
• Contribute to the evaluation and integration of emerging AI technologies (foundation models, multimodal AI, agentic processing) into our platform
• Build and maintain OCR and document understanding systems optimized for engineering drawings
• Participate in data strategy activities including collection, annotation pipeline development, and curation of construction document datasets
• Collaborate with the team on domain and product requirements, model evaluation, iteration, and production deployment

Requirements:

• At least 3 years of industry experience in machine learning, NLP, computer vision, or a related field
• Proficiency with deep learning frameworks (PyTorch, TensorFlow) and MLOps practices
• Strong software engineering fundamentals (version control, testing, code review)
• BSc in Computer Science, Machine Learning, Computer Vision, or related field

Preferred Qualifications

• MSc in a relevant field
• Familiarity with transformer architectures, foundation models, and agentic AI pipelines
• Hands-on experience deploying ML models in production environments
• Exposure to multi-stakeholder AI projects from research through to production deployment
• Familiarity with construction documents