Machine Learning Engineer

We're looking for a Machine Learning Engineer to train custom models using our internal data. This work spans design generation, cost estimation, evaluating the complexity and difficulty of a given design, and extracting structured data out of existing documentation. We're looking for someone who has trained custom models on large, parameter-rich datasets, ideally with a geometric or spatial component, and who is energized by problems in that space specifically.

• 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