Junior AI/ML Engineer (Vision + Multimodal) On-site (SF)

Blueprints AI; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Blueprints AI in San Francisco seeks an AI engineer to assist in building, fine-tuning, and evaluating AEC-specific vision and multimodal models. You will gain hands-on experience with production ML systems and work closely with senior engineers to deliver real product value.

Responsibilities include data preparation, model experimentation, deployment pipelines, and collaboration with product and engineering teams to turn research insights into shippable customer value.

Qualifications

• 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.

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.

Job description

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.

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.