Machine Learning Engineer

Layup Parts; Huntington Beach (CA); On-site; USD 120,000 - 185,000; Full time

Benefits offered by this job

Full Benefits Package

Equity Option Grants

401k

Paid Time Off: Unlimited PTO

Job summary

Layup Parts is hiring a Machine Learning Engineer to train custom models using our internal manufacturing data and to extract structured data from engineering documents. You will work on cost estimation, design complexity, and geometry-based modeling to improve design and manufacturing workflows.

We seek someone with experience training models on large, parameter-rich datasets, preferably with spatial or geometric data problems. CAD experience and manufacturing background are a plus.

Qualifications

• Experience training custom ML models beyond basic labeling or fine-tuning.
• Experience with advanced object detection; data classification is a plus.
• Geometry-based modeling experience highly preferred.
• Experience with large, parameter-rich datasets.
• Background in structured, spatial, or geometric data problems.

Responsibilities

• Train and iterate on custom ML models using internal manufacturing and design data.
• Build models that estimate cost and predict design complexity or manufacturing difficulty from part geometry.
• Develop models to generate or assist in generating new designs based on historical data.
• Build pipelines to extract structured data (specs, dimensions, material callouts) from engineering documents.
• Evaluate and select modeling approaches suited to geometric, spatial, and other structured data.
• Collaborate with engineering and manufacturing teams to source, clean, and label internal datasets.
• Own model performance end-to-end from data pipeline through training and deployment.
• Identify new opportunities where custom models could improve workflows.

Skills

Custom ML models

Object detection

Geometry-based modeling

Large datasets

Data classification

Education

Bachelor's or higher in CS/ML/Engineering

Tools

CAD

Job 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.

What You'll Do

• 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

What We're Looking For

• 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

Bonus Points

• Experience training geometry-specific models
• CAD experience
• Manufacturing experience

$120,000 - $185,000 a year

Final compensation is based on your experience, skills, and what you bring to the table.

• Full Benefits Package: Medical, dental, and vision coverage, short- and long-term disability insurance, company-paid life insurance
• Equity Option Grants
• 401k plan
• Paid Time Off: Unlimited PTO + 9 Federal Holidays

Equal Opportunity

Layup 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 Requirements

To 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. Learn more about the ITAR here.