Blueprints AI
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Junior AI/ML Engineer

(Vision + Multimodal)

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.
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