Role Overview
Assist in building, fine-tuning, and evaluating AEC-specific vision and multimodal models. Working alongside senior engineers, you will contribute to data preparation, model experimentation, and deployment pipelines while gaining hands-on experience with production ML systems.
Key Responsibilities
- 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.
Ideal Candidate Profile
- You have shipped ML systems including training, evaluation, deployment, and monitoring.
- You communicate clearly about uncertainty, metrics, and tradeoffs with non-ML stakeholders.
- Eagerness to learn production MLOps, deployment workflows, and domain-specific AI applications.
Nice to Have
- Computer vision, multimodal models, retrieval, or document understanding at scale.
- Experience in architecture, engineering, or construction technology.