SWATX is seeking a Machine Learning Engineer to support AI/ML components for their building compliance automation project. This 3-month contract role (extendable) focuses on developing and optimizing various models and algorithms that drive compliance logic and data processing in the construction industry. The position involves creating non-LLM machine learning solutions and heuristic methods to interpret rules and analyze Building Information Modeling (BIM) data.
The ideal candidate will work at the intersection of machine learning and construction technology, developing classification models, parameter extraction routines, and optimizing ML pipelines. They will collaborate closely with domain experts to translate building regulations into algorithmic checks and create efficient data processing workflows.
Key responsibilities include developing compliance logic, creating preprocessing and classification models, designing acceptability criteria, and building data extraction pipelines from BIM models. The role requires strong machine learning fundamentals, excellent data processing skills, and an understanding of BIM data structures.
This remote position offers an opportunity to work on cutting-edge applications of AI in the architecture, engineering, and construction (AEC) industry. The successful candidate will play a crucial role in developing innovative solutions that bridge the gap between traditional building regulations and modern machine learning technologies.
The position requires a blend of technical expertise in machine learning, software engineering best practices, and the ability to collaborate effectively with domain experts. While construction industry experience is preferred, strong technical skills and the ability to quickly learn domain-specific knowledge are essential.