Senior Principal Research Engineer

Lead and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources

Mentor junior engineers and provide technical guidance on complex data engineering challenges

Work with large-scale, multi-modal datasets—including text and geometric data—to support preprocessing, augmentation, analysis, and content understanding

Transform unstructured AEC data into representations suitable for machine learning

Lead cross-functional collaboration with ML Research Scientists and Engineers to align data formats with downstream training and fine-tuning of LLMs

Apply deduplication, normalization, and validation techniques to ensure high-quality data at scale

Architect and optimize pipelines for scalability, reproducibility, and cloud deployment

Drive technical decision-making and influence engineering best practices across the team

Perform requirements analysis, working with team members of different levels and documenting solutions clearly

Lead initiatives to communicate findings through quantitative analysis, visuals, and clear insights

Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs

Participate in technical planning and roadmap development

Ph.D. or M.Sc. in Computer Science, Engineering, or a related field

10+ years of experience in Machine Learning, Engineering, or related fields

2+ years of experience leading technical projects or mentoring junior engineers

Demonstrated ability to provide technical leadership in cross-functional environments

Hands-on experience in data modeling, architecture, and processing across multiple representations, including 2D/3D geometry

Experience with computational geometry and geometric data methods

Familiarity with machine learning concepts and frameworks, and how data is represented for training

Proficiency in Python and strong software engineering practices

Ability to translate theoretical concepts into practical solutions and prototypes

Strong documentation skills for code, architectures, and experiments

Background in Architecture, Engineering, or Construction (AEC)

Excellent communication skills with the ability to influence and guide technical decisions

Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)

Knowledge of the AEC industry and its specific data processing challenges

Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks like PyTorch or Lightning

Solid understanding of core computer science algorithms and scalability considerations

Experience with AWS cloud services and Sage Maker Studio for scalable data processing

Experience managing or leading small technical teams

Track record of driving technical innovation and best practices

You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques

You are comfortable working in newly forming, ambiguous areas where learning and adaptability are key skills

You collaborate easily with others and are comfortable providing technical leadership with minimal direction

You constantly strive to learn new technologies and methodologies while helping others grow

You seek new ways to solve hard problems and can guide others in problem-solving approaches

You are unafraid to put your ideas out there, fail fast, and help create a culture of innovation and learning