Lead and collaborate with other engineers to develop scalable data pipelines for diverse AEC data sources used in production ML systems
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 design novel 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 in production environments
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 with senior stakeholders, ensuring technical solutions meet both immediate project goals and long-term research objectives
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

Requirements

MSc or PhD in Computer Science, Engineering, or a related field
7-10+ years of experience in Machine Learning, Engineering, or related fields
Proven technical leadership, including leading complex projects and influencing technical direction in cross-functional teams
Strong experience in geometric data modeling and processing, including complex 2D/3D representations, computational geometry, and data architectures
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 research ideas into production-grade systems
Excellent communication skills with ability to influence and guide technical decisions
Background in Architecture, Engineering, or Construction (AEC).

Benefits

Health and financial benefits
Time away and everyday wellness

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesmachine learningdata engineeringgeometric data modeling2D/3D representationscomputational geometryPythondata normalizationdata validationcloud deployment

Soft Skills

technical leadershipmentoringcommunicationinfluencingcollaborationrequirements analysisdecision-makingagile workflowsflexibilityresponsiveness

Certifications

MScPhD