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Freelance Machine Learning Compiler Engineer Jobs in Santa Ana, CA

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120K - $185K/yr

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 ...

Turion Space

Machine Learning Engineer

Irvine, CA

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Capgroup

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D machine learning models for processing reality capture data, contributing to automated progress tracking ...

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Showing results 21-40

All JobsMachine Learning Compiler Engineer JobsFreelance Machine Learning Compiler Engineer JobsFreelance Machine Learning Compiler Engineer Jobs in Santa Ana, CA

Freelance Machine Learning Compiler Engineer information

See Santa Ana, CA salary details

$15

$49

$137

How much do freelance machine learning compiler engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for freelance machine learning compiler engineer in Santa Ana, CA is $49.64, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $64.28 per hour, depending on experience, location, and employer.

What is the difference between Freelance Machine Learning Compiler Engineer vs Freelance Software Developer?

AspectFreelance Machine Learning Compiler EngineerFreelance Software Developer
Required SkillsMachine learning frameworks, compiler optimization, programming (C++, Python)General programming, software design, various languages
Work EnvironmentProject-based, remote, often technical teams in AI/ML industryVaried industries, remote or on-site, broad application areas
Industry UsageAI/ML companies, research labs, tech firmsTech, finance, healthcare, startups, enterprise

Freelance Machine Learning Compiler Engineers focus on optimizing ML models for deployment, requiring specialized knowledge in ML frameworks and compiler technology. Freelance Software Developers have broader roles across various industries, working on diverse software projects. Both roles are in high demand but differ in technical focus and industry application.

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For Freelance Machine Learning Compiler Engineer jobs in Santa Ana, CA, the most frequently searched job titles are:

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Freelance Machine Learning Compiler Engineer jobs near you
Infographic showing various Freelance Machine Learning Compiler Engineer job openings in Santa Ana, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $103,257 per year, or $49.6 per hour.

Machine Learning Engineer

Layup Parts

Huntington Beach, CA • On-site

$120K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

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 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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