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Junior Machine Learning Engineer Jobs in Santa Ana, 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 ...

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 ...

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

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 ...

Showing results 21-40

Junior Machine Learning Engineer information

See Santa Ana, CA salary details

$34.9K

$74.7K

$113.9K

How much do junior machine learning engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for junior machine learning engineer in Santa Ana, CA is $74,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $83,200.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What job categories do people searching Junior Machine Learning Engineer jobs in Santa Ana, CA look for?

The top searched job categories for Junior Machine Learning Engineer jobs in Santa Ana, CA are:

What cities near Santa Ana, CA are hiring for Junior Machine Learning Engineer jobs?

Cities near Santa Ana, CA with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Santa Ana, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $74,713 per year, or $35.9 per hour.

Machine Learning Engineer

Turion Space

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


Job description

Description
Turion's mission is to build a sustainable future in space. Turion launched its first DROID satellite in June of 2023 to collect non-Earth imagery. 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 integrating those solutions into Turion's infrastructure pipeline with a small ML team that operates at the junction of R&D and deployment.

Key Responsibilities
  • Contribute to the research, design, implementation, and testing of CV and/or AI/ML software
  • Analyze large datasets used for AI/ML model development 
  • Identify opportunities to improve AI/ML model performance and efficiency 
  • Assist in the deployment of AI/ML models onto AWS
  • Contribute to the deployment of MLOps processes and techniques
  • Assist in the development of automated methods for responsible AI monitoring and best practices


Qualifications
Minimum Qualifications:
  • Strong experience in Python 
  • Hands-on experience in prototyping and maturing ML algorithms
  • Comfort working in a fast-paced, self-driven entrepreneurial workplace
  • A degree in Computer Science or a related field. 
Preferred Skills and Experience:
  • Experience working with AWS
  • Experience working with Docker
  • Experience designing and building microservices
  • Experience with Jira or other defect-tracking software
  • Experience building complex systems that have been successfully delivered to customers
ITAR Requirements: 
  • This position may include access to technology and/or software source code that is subject to U.S. export controls. 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. 

Benefits
  • Health Insurance: Comprehensive medical, dental, and vision coverage.
  • Retirement Plans: Access to a 401(k) plan.
  • Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge.
  • Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.
  • Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment.
  • Diverse and Inclusive Culture: A commitment to diversity and inclusion, with initiatives to support a welcoming and equitable work environment.
Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of Turion’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department.