Machine Learning Engineer
Layup Parts3 months ago
Huntington Beach, CA, USAMid Level
Base Salary
$120k - $185k/yr
Responsibilities
- Train and iterate on custom machine learning models using internal manufacturing and design data.
- Build models for cost estimation and prediction of design complexity or manufacturing difficulty from part geometry.
- Develop models that generate or assist with generating new designs from historical design data.
- Build pipelines to extract structured specifications, dimensions, material callouts, and other information from engineering documents and drawings.
- Evaluate modeling approaches for geometric, spatial, and other structured data.
- Work with engineering and manufacturing teams to source, clean, and label internal datasets.
- Own model performance from data pipeline development through training, evaluation, and deployment into internal tools.
- Identify opportunities for custom models to improve design, estimation, and manufacturing workflows.
Requirements
- Experience training custom models beyond basic labeling or fine-tuning workflows.
- Experience with advanced object detection is required at minimum.
- Experience with data classification is a strong plus.
- Experience with geometry-based modeling is highly preferred.
- Experience working with large, parameter-rich datasets.
- Background in structured, spatial, or geometric data problems is preferred over natural-language or LLM-centric work.
- CAD experience and manufacturing experience are bonus qualifications.
Categories
About Layup Parts
Layup Parts manufactures composite parts and the tooling to produce them for customers that need fast-turnaround composites. It also builds a factory operating system and customer portal that orchestrate production from quote to shipment. Privately held and founded in 2024, the company is headquartered in Huntington Beach, California.