AI/ML Engineer

Design, train, and fine-tune models for AEC-specific workflows. You'll own the full cycle — from data preparation and model experimentation to production deployment and cost optimization. If you care about making AI actually work for a massive, underserved industry, this is the role.

• Build and evaluate datasets, labeling pipelines, and quality metrics for domain-specific models.
• Experiment with architectures, fine-tuning, and evaluation loops tied to real product outcomes.
• Deploy and monitor models in production; optimize latency, cost, and reliability.
• Work with product and engineering to turn research insights into shippable customer value.

• You have shipped ML systems beyond notebooks — training, evaluation, deployment, and monitoring.
• You communicate clearly about uncertainty, metrics, and tradeoffs with non-ML stakeholders.
• You enjoy closing the loop with users and measuring impact in the real world.

• Computer vision, multimodal models, retrieval, or document understanding at scale.
• Experience in architecture, engineering, or construction technology.