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Machine Learning Intern Jobs in Santa Ana, CA (NOW HIRING)

The AI Automation Intern will drive two key initiatives: Develop an AI-driven magnetics design ... Develop an AI enabled magnetics design automation capability that leverages machine learning models ...

The AI Automation Intern will drive two key initiatives: Develop an AIdriven magnetics design ... Develop an AI enabled magnetics design automation capability that leverages machine learning models ...

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Machine Learning Intern information

See Santa Ana, CA salary details

$26.5K

$44.3K

$91.6K

How much do machine learning intern jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning intern in Santa Ana, CA is $44,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $47,900.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What are the most commonly searched types of Machine Learning jobs in Santa Ana, CA?

The most popular types of Machine Learning jobs in Santa Ana, CA are:

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

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

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

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

Infographic showing various Machine Learning Intern job openings in Santa Ana, CA as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 25% Part Time, 1% Temporary, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,312 per year, or $21.3 per hour.

$20 - $23/hr

Part-time

Posted 9 days ago


Orange County Transportation Authority rating

9.7

Company rating: 9.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 855 rated public administrative organizations


Job description

Job Description
College Intern - Learning & Development
Join OCTA's Learning & Development team as a College Intern and gain hands-on experience supporting employee training, professional development, and organizational learning initiatives. In this role, you will assist with the coordination of training programs, preparation of learning materials, data analysis, and administrative activities that support employee development across the organization. You will work alongside experienced professionals and contribute to a variety of learning opportunities, including employee onboarding, skill-building workshops, and leadership development programs.
Under direct supervision, you will perform a variety of professional entry-level duties related to your major field of study and the sponsoring department's current business operations. As a College Intern, you will be exposed to OCTA's career opportunities in the transportation industry. You will gain deeper awareness of transportation's many facets through your OCTA orientation, projects and teams, and internal networking.
OCTA's College Intern Program is a year-round paid student/intern program. You will gain real-world work experience on meaningful projects under the guidance of transportation and marketing professionals. You will have opportunities to strengthen your problem-solving, communication, analytical, and decision-making skills while working with a mentor and building your professional network.
The pay range is $20.00 - $23.00 per hour, depending on education level. This position is not eligible for employee benefits. The work schedule will consist of approximately 20 hours per week, not to exceed 1,000 hours within a continuous 12-month period.
This posting will remain open until a candidate is selected.
What You'll Do
  • Provide administrative and coordination support for employee training and development initiatives.
  • Assist with preparing, organizing, and maintaining training materials and resources.
  • Support in-person workshops and training programs, including employee onboarding, skill-building classes, and leadership development programs.
  • Assist with training-related data collection, analysis, tracking, and reporting.
  • Coordinate program logistics and provide support before, during, and after training sessions.
  • Collaborate with Learning & Development staff on special projects and other employee development initiatives.

What We're Looking For
  • Currently enrolled full-time college student (Freshman, Sophomore, Junior, or Senior) at an accredited two- or four-year college or university.
  • Pursuing an undergraduate or graduate degree in Human Resources, Organizational Development, Business Administration, Communications, Psychology, Education, Instructional Design, or a related field.
  • Minimum cumulative GPA of 2.5 or higher.
  • Strong written, verbal, and organizational skills with excellent attention to detail.
  • Proficiency in Microsoft Office applications, including Word, Excel, and PowerPoint.
  • Familiarity with AP style is a plus.
  • Interest in employee learning, training, professional development, or human resources.
  • Ability to manage multiple projects, meet deadlines, and adapt to changing priorities.
  • Ability to work effectively both independently and collaboratively in in-person and virtual team environments.
  • Strong problem-solving skills with the judgment to ask questions, seek clarification, and take initiative when appropriate.

Why You'll Love It Here
  • Gain hands-on experience supporting employee learning and professional development programs.
  • Help deliver onboarding, skill-building, and leadership development opportunities for employees across the organization.
  • Develop valuable skills in training coordination, communication, data analysis, and program administration.
  • Learn how Learning & Development supports employee growth and organizational effectiveness.
  • Work alongside experienced professionals in a collaborative environment focused on learning, mentorship, and professional growth.

Join a team where innovation, integrity, and strategic thinking are valued.
Apply now to help shape the future of OCTA's programs.
OCTA is an equal employment opportunity employer that recruits, hires, and promotes qualified people without regard to race, color, religion, creed, ancestry, national origin, age, sex, pregnancy, gender, gender identity and/or expression, sexual orientation, marital status, medical condition, disability, genetic information, military and veteran status, or any other legally protected status.

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