Machine Learning Engineer

Layup Parts

$120K — $185K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience training custom ML models
  • Strong background in structured, spatial, or geometric data problems
  • Experience with advanced object detection and data classification
  • Proficiency with large, parameter-rich datasets
  • Familiarity with geometric modeling techniques is highly preferred

Responsibilities

  • Train and improve custom ML models using internal manufacturing and design data
  • Build models for cost estimation and design complexity prediction
  • Develop models to assist in generating new designs from historical data
  • Create pipelines for extracting structured data from engineering documentation
  • Evaluate and select appropriate modeling approaches for geometric and spatial data
  • Collaborate with engineering and manufacturing teams to prepare internal datasets
  • Take ownership of the entire model performance lifecycle, from data pipeline to deployment
  • Identify new opportunities for enhancing design and manufacturing workflows

Benefits

  • Full Benefits Package: Medical, dental, and vision coverage
  • Short- and long-term disability insurance and company-paid life insurance
  • Equity Option Grants
  • 401k plan
  • Unlimited PTO plus 9 Federal Holidays
Full Job Description
We9re 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. We9re 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 You9ll Do

  • Train and iterate on custom ML models using Layup9s 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 We9re 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


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