ML Research
About The Position
- 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