Machine Learning Engineer
- Salary
- USD 120,000 - 185,000 / per-year-salary
- Level
- Mid
- Work type
- On-site · Huntington Beach
Not stated in the posting: visa.
Open. First seen 4 August 2026.
About the role
Layup Parts's standard text
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
- Be awesome! Be the kind of person you want to work with!
- 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
Layup Parts's standard text
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 card holder), (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.
Layup Parts's standard text
#LI-KC1
What this role asks for
Standard for data science / ML roles
LLM · Machine Learning
Common in data science / ML postings at any company.
71% of this description is written for the role. The rest is Layup Parts's standard text, folded away below.
Read against Layup Parts's other open postings on this site.
The team: Software & Controls
This role is one of 8 open in Software & Controls.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
C++ (6 of 8), Golang (5 of 8), Rust (5 of 8), Python (2 of 8), React (2 of 8)
OTHER ROLES ON THIS TEAM
- Computational Geometry Software Lead posted Sep 9
- Engineering Manager, Manufacturing Software posted Sep 9
- Senior Software Engineer (Full Stack) posted Sep 2
- Robotics Engineer posted Aug 4
- Software Engineer, Controls & Automation posted Aug 4
- Software Engineer (Computational Geometry) posted Jun 2
- Software Engineering Intern posted Jul 10
From the team and dates on Layup Parts's own job board.
Salary context
64 other open postings titled Machine Learning Engineer state a salary: median USD 150,000 to USD 211,700 a year.
See Machine Learning Engineer salaries in the United States →
Similar jobs
- Machine Learning Engineer, Answers Relevance at Reddit
Shares 2 skills: LLM, Machine Learning · same seniority · same country - Machine Learning Engineer Graduate (Monetization Technology - Ads Core Global) - 2027 Start (PhD) - Graduate (Global Monetization Product and Technology) - 2027 Start (PhD) at TikTok
Shares 2 skills: LLM, Machine Learning · same country - Machine Learning Engineer, Enterprise Brain at Glean
Shares 2 skills: LLM, Machine Learning · same country - Senior Machine Learning Engineer, CX at Coinbase
Shares 2 skills: LLM, Machine Learning · same country - Staff Machine Learning Engineer, Ads Conversion Core Modeling at Pinterest
Shares 2 skills: LLM, Machine Learning · same country - Staff Manufacturing Engineer, Program Lead at Layup Parts
Also at this company
Is this your posting and you want it taken down? Email info@careerholo.com.