Senior Principal Research Engineer

Description

• Drive technical decision-making and influence engineering best practices across the team
• Apply deduplication, normalization, and validation techniques to ensure high-quality data at scale
• Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs
• Lead initiatives to communicate findings through quantitative analysis, visuals, and clear insights
• Participate in technical planning and roadmap development
• Perform requirements analysis, working with team members of different levels and documenting solutions clearly
• Mentor junior engineers and provide technical guidance on complex data engineering challenges
• Architect and optimize pipelines for scalability, reproducibility, and cloud deployment
• Lead cross-functional collaboration with ML Research Scientists and Engineers to align data formats with downstream training and fine-tuning of LLMs
• 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 and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources

Requirements

• 2+ years of experience leading technical projects or mentoring junior engineers
• 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
• Experience with computational geometry and geometric data methods
• Excellent communication skills with the ability to influence and guide technical decisions
• Ability to translate theoretical concepts into practical solutions and prototypes
• 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
• Ph.D. or M.Sc. in Computer Science, Engineering, or a related field
• Hands-on experience in data modeling, architecture, and processing across multiple representations, including 2D/3D geometry
• Background in Architecture, Engineering, or Construction (AEC)
• 10+ years of experience in Machine Learning, Engineering, or related fields
• You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
• Demonstrated ability to provide technical leadership in cross-functional environments
• Familiarity with machine learning concepts and frameworks, and how data is represented for training
• Strong documentation skills for code, architectures, and experiments
• Experience with AWS cloud services and SageMaker Studio for scalable data processing
• Track record of driving technical innovation and best practices
• You seek new ways to solve hard problems and can guide others in problem-solving approaches
• Proficiency in Python and strong software engineering practices
• Knowledge of the AEC industry and its specific data processing challenges
• Experience managing or leading small technical teams
• Experience with AEC data formats (e.g., BIM models, IFC files, CAD files, Drawing Sets)

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance