> Markdown version of [/jobs/ext/2454696-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2454696-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Layup Parts, Inc. - **Location:** Huntington Beach, CA, United States - **Salary:** $120,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Machine Learning, Object Detection, Data Classification, Delivery Pipeline, Large Language Models, Data Pipelines - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=51da6440d73b59d2 ## About the Role * 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 ## Description * 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 ## Related Videos - [Machine Learning in ML.NET](https://www.wearedevelopers.com/videos/272-machine-learning-in-ml-net) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)