{"schemaVersion":"jobsearcher.job.v1","id":"8ce4b7bdc1fc50d8a05f335d","url":"https://jobsearcher.com/jobs/8ce4b7bdc1fc50d8a05f335d","canonicalUrl":"https://jobsearcher.com/jobs/8ce4b7bdc1fc50d8a05f335d","title":"Machine Learning Engineer","description":"At Layup Parts, we're developing the technology that will build the future.We're a manufacturing technology company replacing months of lead time with days, using proprietary software, automation, and advanced manufacturing systems built for speed. Our customers are inventing what's next, in aerospace, defense, robotics, and beyond. To keep up with them, manufacturing has to change. That's what we're building.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\r\nBuild models that estimate cost and predict design complexity or manufacturing difficulty from part geometry\r\nDevelop models that generate or assist in generating new designs based on historical design data\r\nBuild pipelines to extract structured data (specs, dimensions, material callouts, etc.) from existing engineering documents and drawings\r\nEvaluate and select modeling approaches suited to geometric, spatial, and other structured data, rather than text-based problems\r\nWork closely with engineering and manufacturing teams to source, clean, and label internal datasets\r\nOwn model performance end-to-end, from data pipeline through training, evaluation, and deployment into internal tools\r\nContinuously identify new opportunities where custom models could improve design, estimation, or manufacturing workflowsExperience training custom models beyond basic labeling or fine-tuning workflows\r\nExperience with advanced object detection at minimum; data classification experience is a strong plus\r\nExperience with geometry-based modeling is highly preferred\r\nExperience working with large, parameter-rich datasets\r\nStrongest fit is someone whose background is in structured, spatial, or geometric data problems rather than natural language or LLM-centric workExperience training geometry-specific models\r\nCAD experience\r\nManufacturing experienceEqual OpportunityLayup is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance.ITAR RequirementsTo conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green cardholder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. 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Our customers are inventing what's next, in aerospace, defense, robotics, and beyond. To keep up with them, manufacturing has to change. That's what we're building.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\r\nBuild models that estimate cost and predict design complexity or manufacturing difficulty from part geometry\r\nDevelop models that generate or assist in generating new designs based on historical design data\r\nBuild pipelines to extract structured data (specs, dimensions, material callouts, etc.) from existing engineering documents and drawings\r\nEvaluate and select modeling approaches suited to geometric, spatial, and other structured data, rather than text-based problems\r\nWork closely with engineering and manufacturing teams to source, clean, and label internal datasets\r\nOwn model performance end-to-end, from data pipeline through training, evaluation, and deployment into internal tools\r\nContinuously identify new opportunities where custom models could improve design, estimation, or manufacturing workflowsExperience training custom models beyond basic labeling or fine-tuning workflows\r\nExperience with advanced object detection at minimum; data classification experience is a strong plus\r\nExperience with geometry-based modeling is highly preferred\r\nExperience working with large, parameter-rich datasets\r\nStrongest fit is someone whose background is in structured, spatial, or geometric data problems rather than natural language or LLM-centric workExperience training geometry-specific models\r\nCAD experience\r\nManufacturing experienceEqual OpportunityLayup is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance.ITAR RequirementsTo conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green cardholder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. 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