Machine Learning Engineer

What You'll Do

Train and iterate on custom ML models using Layup's internal manufacturing and design data
Build models that estimate cost and predict design complexity or manufacturing difficulty from part geometry
Develop models that generate or assist in generating new designs based on historical design data
Build pipelines to extract structured data (specs, dimensions, material callouts, etc.) from existing engineering documents and drawings
Evaluate and select modeling approaches suited to geometric, spatial, and other structured data, rather than text-based problems
Work closely with engineering and manufacturing teams to source, clean, and label internal datasets
Own model performance end-to-end, from data pipeline through training, evaluation, and deployment into internal tools
Continuously identify new opportunities where custom models could improve design, estimation, or manufacturing workflows

What We're Looking For

Be awesome! Be the kind of person you want to work with!
Experience training custom models beyond basic labeling or fine-tuning workflows
Experience with advanced object detection at minimum; data classification experience is a strong plus
Experience with geometry-based modeling is highly preferred
Experience working with large, parameter-rich datasets
Strongest fit is someone whose background is in structured, spatial, or geometric data problems rather than natural language or LLM-centric work

Bonus Points

Experience training geometry-specific models
CAD experience
Manufacturing experience