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 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