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Machine Learning Developer Intern Jobs in Ontario, CA

Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc. * Strong programming skills in MATLAB/Python/C/C++ and exposure to software ...

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$110K - $152K/yr

The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure, develop cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior ...

... machine learning models trained on historical designs, simulation outputs, and performance data to deliver rapid, reliable design recommendations and reduce engineering iteration cycles. * Develop ...

... machine learning models trained on historical designs, simulation outputs, and performance data to deliver rapid, reliable design recommendations and reduce engineering iteration cycles. * Develop ...

Showing results 41-60

Machine Learning Developer Intern information

See Ontario, CA salary details

$25.9K

$43.3K

$89.5K

How much do machine learning developer intern jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning developer intern in Ontario, CA is $43,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,800.00 per year, depending on experience, location, and employer.

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Ontario, CA are hiring for Machine Learning Developer Intern jobs?

Cities near Ontario, CA with the most Machine Learning Developer Intern job openings:

Sr Engineer, AI/Machine Learning

Irvine, CA

Masimo
Medical Equipment and Supplies Manufacturing • 1 - 5K employees

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Job Summary:

The Sr Engineer, AI & ML will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices, working on creating new non-invasive measurements, enable measurement technologies to be applied to new applications, and facilitate the design and creation of next-generation medical devices. It is a cutting-edge research and development opportunity with the potential to improve people's lives by solving real-world problems. The key focus will be in analyzing data from different sources to discover relationships among various measurements and medically relevant conditions and developing computational models for disease diagnosis, detection and prediction of critical events.

Responsibilities will include working with data from continuous streams of invasive and non-invasive sensors, electronic medical records as well as speech/audio and image/video. The Sr Engineer, AI & ML will also closely work with our software, hardware and systems teams to ensure an efficient deployment in Masimo products.

Please note this is an onsite position at our Irvine, CA. office. 

Duties & Responsibilities:

  • Design and develop AI and ML models to solve complex problems
  • Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar software
  • Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems
  • Design, train and evaluate machine learning models using large datasets in the cloud
  • Prototype new ideas/technologies to create proof of concept and demos
  • Contribute to the organization's strong drive to be on the cutting edge of technology through the generation of patentable ideas
  • Work with cross-functional teams in the R&D group, including hardware and software engineers
  • Effectively communicate with engineering and marketing teams
  • Design clinical studies to collect physiological data from human subjects, perform data collection and analysis of physiological data
  • Carry out statistical analysis of clinical data
  • Implement physiological parameter measurement algorithms on embedded systems
  • Deliver high quality software design, documentation and implementation
  • Performs other duties as assigned

Minimum Qualifications:

  • At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling within the medical device industry 
  • Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.
  • Expertise in data analysis and data mining
  • Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc.
  • Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods
  • Familiarity with DSP architecture and embedded systems
  • Exposure to DSP Programming
  • Excellent conceptual, analytical, and problem-solving abilities
  • Ability to excel in a fast-paced and dynamic work environment
  • Excellent verbal and written communication skills

Preferred Qualifications:

  • Understanding of human physiology and exposure to designing clinical protocols are preferred
  • Prior experience in application of AI/ML and signal processing techniques tools to bio-medical signals is a plus

                                                                                                                                 
Education

M.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field required

Compensation + Benefits: The anticipated range for this position is $140,000 - $170,000. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on Company, department, and individual performance. Masimo offers benefits such as Medical, Dental, Vision, Life/AD&D, Disability Insurance, 401(k), Vacation, Sick, Holiday, Paid Maternity Leave, Flexible Spending Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet Insurance, on-site Wellness Clinic, Fitness Center, Cafe. All benefits are subject to eligibility requirements.


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About Masimo

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1989

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