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Machine Learning Research Intern Jobs in Riverside, CA

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... Research Institute, and SpaceX, along with a track record of field deployments and strong ...

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... Research Institute, and SpaceX, along with a track record of field deployments and strong ...

Senior Machine Learning Engineer

Irvine, CA

$131K - $173K/yr

... Machine Learning Engineer at Capital Group" We are looking for someone who can take a vague ... Our work reaches across the investment organization, from research analysts to governance ...

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

... with learning systems proven in globally deployed solutions that deliver results today and get ... Research Institute, and SpaceX, along with a track record of field deployments and strong ...

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

... with learning systems proven in globally deployed solutions that deliver results today and get ... Research Institute, and SpaceX, along with a track record of field deployments and strong ...

Showing results 21-40

Machine Learning Research Intern information

See Riverside, CA salary details

$26.6K

$44.4K

$91.8K

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

As of Aug 12, 2026, the average yearly pay for machine learning research intern in Riverside, CA is $44,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
What are popular job titles related to Machine Learning Research Intern jobs in Riverside, CA? For Machine Learning Research Intern jobs in Riverside, CA, the most frequently searched job titles are:
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What cities near Riverside, CA are hiring for Machine Learning Research Intern jobs? Cities near Riverside, CA with the most Machine Learning Research Intern job openings:
Infographic showing various Machine Learning Research Intern job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,426 per year, or $21.4 per hour.

Sr Engineer, AI/Machine Learning

Masimo Corporation

Irvine, CA • On-site

$140 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 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.

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
  • 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, Café. All benefits are subject to eligibility requirements.

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Masimo logo

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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