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Home Based Python Machine Learning Jobs in Ontario, CA

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

Sr Applied AI Engineer

Irvine, CA · On-site

$131K - $173K/yr

... Python machine learning frameworks such as PyTorch or TensorFlow • Proven experience applying large language models generative AI or agent based frameworks to real business problems • ...

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$110K - $152K/yr

... cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior ... Python/TypeScript and a strong foundation in software engineering best practices. • Proven ...

Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality * Build software that follows industry-standard design patterns ...

Showing results 41-60

Home Based Python Machine Learning information

See Ontario, CA salary details

$13

$59

$87

How much do home based python machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for home based python machine learning in Ontario, CA is $59.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $67.74 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Ontario, CA?

For Home Based Python Machine Learning jobs in Ontario, CA, the most frequently searched job titles are:

What job categories do people searching Home Based Python Machine Learning jobs in Ontario, CA look for?

The top searched job categories for Home Based Python Machine Learning jobs in Ontario, CA are:

What cities near Ontario, CA are hiring for Home Based Python Machine Learning jobs?

Cities near Ontario, CA with the most Home Based Python Machine Learning job openings:

Machine Learning Engineer

Layup Parts

Huntington Beach, CA • On-site

$120K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 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.