Machine Learning Engineer
Layup PartsComposite Manufacturing company
Huntington Beach, United StatesMid
Founders Fund
Lux Capital
Marlinspike
Haystack
Cerberus Ventures
Pinegrove Venture Partners
Data & AI
About the role
TL;DR
Develop custom ML models for manufacturing and design data, focusing on geometry.
- •Layup Parts is seeking a Machine Learning Engineer to develop custom models using proprietary manufacturing and design data.
- •This role is crucial for advancing their proprietary software and automation systems built for speed.
- •Key Responsibilities Train and iterate on custom ML models using internal manufacturing and design data.
- •Build models for cost estimation and design complexity prediction from part geometry.
- •Develop models to generate or assist in generating new designs.
- •Extract structured data from engineering documents and drawings.
- •Evaluate and select modeling approaches suited to geometric and spatial data.
- •Requirements Experience training custom models beyond basic fine-tuning.
- •Experience with advanced object detection; data classification is a 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 NLP/LLM work.
Required skills
Pythonscikit-learnComputer VisionGit
Nice-to-have skills
TensorFlowPyTorch
Domain expertise
aerospacedefense
Tech stack
PythonTensorFlowPyTorchscikit-learnComputer VisionGit
