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Machine Learning Software Engineer Intern Jobs in Fullerton, CA

Machine Learning Engineer II

Irvine, CA

$104K - $143K/yr

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for building reliable, scalable machine learning systems. Required Qualifications * Bachelor's or Master ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for building reliable, scalable machine learning systems. Required Qualifications * Bachelor's or Master ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for building reliable, scalable machine learning systems. Responsibilities * Support the deployment ...

Backed by USC and Techstars, we're creating the software, data, and intelligence systems that help ... Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ...

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Manage inputs gathered from unusual sources, including captures from software defined radio (SDR ... Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python ...

Showing results 21-40

Machine Learning Software Engineer Intern information

See Fullerton, CA salary details

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How much do machine learning software engineer intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for machine learning software engineer intern in Fullerton, CA is $26.52, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $30.10 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.
What cities near Fullerton, CA are hiring for Machine Learning Software Engineer Intern jobs? Cities near Fullerton, CA with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Engineer

Motorola Solutions

Los Angeles, CA • On-site

Full-time

Re-posted 28 days ago


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

19th of 157 rated electronics manufacturers


Job description

Job Summary:
Motorola Solutions is a global community focused on keeping people safer. They are seeking a Machine Learning Engineer to develop solutions that enhance performance in wireless communication systems, impacting products and services that utilize signal processing technology.
Responsibilities:
• Manage inputs gathered from unusual sources, including captures from software defined radio (SDR) over a wide range of RF signals
• Combine knowledge of signal processing, probability and statistics, machine learning, and modern methods of artificial intelligence to build large-scale and high-throughput systems handling vast quantities of data
• Collaborate with UX designers, infrastructure engineers, and other research scientists to develop prototypes and integrate ML algorithms that work across a wide range of scales from resource-constrained edge compute to full-sized data centers
• Stay current with the latest machine learning research for wireless and embedded systems, applying ingenuity and a deep understanding of the problems at hand
Qualifications:
Required:
• 4+ years experience as a machine learning engineer
• Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow
• Strong foundation in supervised and unsupervised learning and statistical modeling
• Strong mathematics background, particularly in linear algebra and probability
• Strong written and oral communication skills
• Bachelor degree with 4+ years experience as a machine learning engineer
• AND 2+ years of Python and PyTorch or TensorFlow experience
• Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.
Preferred:
• Advanced degree in a quantitative field such as electrical and computer engineering, physics, mathematics or statistics
• Familiarity with relational and NoSQL databases
• Familiarity with RF signal processing and SDR for signals intelligence or electronic warfare
• Familiarity with cloud-based infrastructure: Azure and/or AWS
• Experience tracking projects with Jira, Azure DevOps or similar tooling
• Experience with Linux, DevOps (command line)
• Experience with containerized infrastructure (Docker, Kubernetes)
• Familiarity with regulated environments, such as sovereign clouds
Company:
Motorola Solutions creates mission-critical communication solutions and services for public safety and commercial customers. Founded in 1928, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928