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Internship Machine Learning Jobs in Rancho Cucamonga, CA

This internship is designed to develop foundational skills while supporting safe and efficient ... Receive training on operating manual machines such as mills, grinders, lathes, and drill presses.

Tool & Die Technician Intern

Brea, CA

$21.25 - $23.25/hr

This internship is designed to develop foundational skills while supporting safe and efficient ... Receive training on operating manual machines such as mills, grinders, lathes, and drill presses.

This internship is designed to develop foundational skills while supporting safe and efficient ... Receive training on operating manual machines such as mills, grinders, lathes, and drill presses.

Business Analyst I

Ontario, CA · On-site

$70K - $99K/yr

... for machine learning and AI model consumption, ensuring consistent definitions, governance ... internship, co-op, or professional) in data analysis, reporting, business analysis, or related work ...

This internship is designed to develop foundational skills while supporting safe and efficient ... Receive training on operating manual machines such as mills, grinders, lathes, and drill presses.

Business Analyst I

Ontario, CA · On-site

$66K - $95K/yr

... for machine learning and AI model consumption, ensuring consistent definitions, governance ... internship, co-op, or professional) in data analysis, reporting, business analysis, or related work ...

Business Analyst I

Ontario, CA · On-site

$70K - $99K/yr

... for machine learning and AI model consumption, ensuring consistent definitions, governance ... internship, co-op, or professional) in data analysis, reporting, business analysis, or related work ...

CNC Programmer Intern

Yorba Linda, CA · On-site

$18.25 - $23.75/hr

This internship is designed as a hands-on training opportunity within Manufacturing Engineering, focused on learning how to program CNC machines to produce parts in a manufacturing environment. With ...

Showing results 21-40

Internship Machine Learning information

See Rancho Cucamonga, CA salary details

$26.1K

$43.5K

$89.9K

How much do internship machine learning jobs pay per year?

As of Sep 14, 2026, the average yearly pay for internship machine learning in Rancho Cucamonga, CA is $43,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,000.00 per year, depending on experience, location, and employer.

What is an internship machine learning?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an internship machine learning?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

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

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the most commonly searched types of Machine Learning jobs in Rancho Cucamonga, CA?

The most popular types of Machine Learning jobs in Rancho Cucamonga, CA are:

What job categories do people searching Internship Machine Learning jobs in Rancho Cucamonga, CA look for?

The top searched job categories for Internship Machine Learning jobs in Rancho Cucamonga, CA are:

What cities near Rancho Cucamonga, CA are hiring for Internship Machine Learning jobs?

Cities near Rancho Cucamonga, CA with the most Internship Machine Learning job openings:

Infographic showing various Internship Machine Learning job openings in Rancho Cucamonga, CA as of September 2026, with employment types broken down into 9% Internship, 55% Full Time, 18% Part Time, 9% Temporary, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $43,517 per year, or $20.9 per hour.

Research Computational Scientist, Neurosciences (Grant Funded)

Orange, CA • On-site

CHOC Children's
Health Care and Social Assistance • 5 - 10K employees

$120K - $149K/yr

Other

Posted 8 days ago


CHOC Children's rating

7.8

Company rating: 7.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Work Location Orange, California Work Shift Day – 08hrs (United States of America)

Why CHOC?

At CHOC, we strive to be the leading destination of children's health by providing exceptional and innovative care. We are responsible for the overall health of our community’s pediatric population in our hospitals, clinics, and practices. And because of our breadth of care, your career at CHOC can be as diverse and fulfilling as you determine. CHOC’s compensation structure, benefits offerings, and career development programs are geared to helping you achieve your professional and personal goals.

Environmental Sustainability Statement

Driven by the connection between children's health and a healthy environment, we commit to creating a healthcare model that incorporates environmental sustainability aligned with our mission to protect children's health and patient safety.

Job Summary

The Research Computational Scientist (RCS) I will collaborate with providers, researchers, and other associates to provide computational services required for research and implementation of research findings. This requires a multidisciplinary training in the computational and data sciences including statistics, computer science, and artificial intelligence. The role will support the development and innovative application of advanced simulation, data analyses, visual analytics, or other computational techniques to research problems across the CHOC Health System. Daily tasks include working closely with providers, researchers, and other associates to develop or deploy computational solutions required for improving knowledge, the health of patients, and the financial health of the organization. These computational solutions will include development of new algorithms, improvement of existing algorithms, and analyses of data from the electronic medical records of patients. Data sources will span not just the electronic medical records but other sources of data relevant to research and organizational growth. The goal is the development of deeper understanding, insight, and prediction of events that may foster the health of children and the health of the care system as well.

Pay Range

Minimum $90,563 Midpoint $120,016 Maximum $149,427 Rate of pay is determined by various factors, including but not limited to knowledge, skills, competencies, experience, education, as well as position requirements.

The ideal candidate is an innovative and highly skilled research professional who brings deep expertise in fMRI analysis, neuroimaging workflows, and multimodal data integration, with experience working across structural MRI, diffusion MRI, and EEG/qEEG datasets. This is an exciting opportunity for a scientist passionate about advancing neuroimaging and pediatric neuroscience through rigorous, high-impact research. The successful candidate will play a key role in generating new insights into brain development and neurological disorders through the analysis and integration of complex neuroimaging data in a collaborative, multidisciplinary setting.

Experience with machine learning or deep learning methods for biomedical imaging, including image segmentation, is preferred but not required.

Experience Required
  • Previous experience with high-level programming languages such as SAS, R Statistical Programming Language, SPSS, C/C++, and Python.
  • Experience with SQL programming and data preprocessing for research studies are also required.
  • Previous participation in research during academic training, internships, or prior job experience.
Preferred

Prior peer-reviewed publications in PubMed-indexed journals.

Education Required

Bachelor of Science in the computational and data sciences, statistics, biostatistics, bioinformatics, and statistical genetics.

Preferred

Master of Science in the computational and data sciences, statistics, biostatistics, bioinformatics, and statistical genetics.

Training Required

Previous (paid or unpaid) work within a research group in college or other institutions.

Specialized Skills Required

Expected to be comfortable with hypothesis testing, statistical distributions, and cross-sectional regression analyses of continuous and binary outcomes.

At least 3 of the following: R Statistical Programming Language, SPSS, SAS, Python, C/C++, and SQL

Work Environments - Functional Demand

Sedentary - Very light energy level Lift 10 lbs. box overhead. Lift and carry 15 lbs. Push/pull 20 lbs. cart.

Physical Activity Requirements

Bending, Carry Objects, Climbing, Keyboard use/repetitive motion, Pinching/fine motor activities, Push/Pull, Reaching forward, Reaching overhead, Sitting, Squat/kneel/crawl (Squad & Knee), Standing, Talk or hear, Taste or smell, Twisting, Walking, Wrist position deviation

Physical Activity Lifting

Lifting (Floor to waist level) - Occasional 0-35%, Lifting (Waist level and above) - Occasional 0-35%

Sensory Requirements

Color Discrimination, Depth Perception, Far Vision, Hearing, Near Vision

Environment Requirements

Airborn Communicable Disease, Bloodborne Pathogens, Chemical, Dust Particular Matter, Extreme Noise Levels, Extreme Temperatures, Radiation, Uneven Surfaces or Elevations

Non-Discrimination Statement

CHOC does not discriminate on the basis of age, race, color, religion, national origin, ancestry, marital status, genetic information, disability, sex, gender (including pregnancy, breastfeeding, childbirth, lactation or related medical conditions), gender identity or expression, medical condition, sexual orientation, veteran status, military or uniformed service member status, or other protected characteristics in accordance with state and federal laws. We encourage individuals from all backgrounds to apply for positions at CHOC, even if your experience doesn’t align perfectly with the listed qualifications for a particular role, as your unique experience may be a great addition to our culture for another one of our opportunities. If you desire support or accommodations throughout the Talent Acquisition process, please inform your Talent Acquisition Partner.

Company Recognition

Recognized year after year as national leader in employee engagement, and named one of the best children’s hospitals by U.S. News & World Report, this is an exciting time to be at CHOC. Our campus is constantly growing and offering new state‑of‑the art programs and services as we continue to meet the needs of more than 250,000 children annually, making the opportunities for career enrichment endless.

Benefits

We offer highly competitive salary levels and benefits, but the personal growth and fulfillment you’ll find at CHOC, coupled with an inspiring mission to nurture, advance, and protect the health and well being of children, are perhaps the most valuable payouts of all.

Join Us

We hope you will join our dedicated and talented team of associates committed to the highest standards of care and making a difference in the lives of children in Orange County – and beyond.

We're always in search for our next Defender of Childhood!

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What CHOC Children's employees say

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