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Computer Science Intern Jobs in Temecula, CA (NOW HIRING)

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Computer Science Intern information

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$11

$19

$29

How much do computer science intern jobs pay per hour?

As of May 29, 2026, the average hourly pay for computer science intern in Temecula, CA is $19.00, according to ZipRecruiter salary data. Most workers in this role earn between $14.64 and $23.38 per hour, depending on experience, location, and employer.

What is a Computer Science Intern job?

A Computer Science Intern is a temporary position where students or recent graduates gain hands-on experience in software development, data analysis, cybersecurity, or other computing fields. Interns typically assist with coding, debugging, research, and testing while working under the guidance of experienced professionals. This role helps build technical skills, industry knowledge, and networking opportunities, preparing interns for full-time positions in the tech industry.

What are the key skills and qualifications needed to thrive in the Computer Science Intern position, and why are they important?

To thrive as a Computer Science Intern, you need a solid understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and basic software development principles, typically backed by ongoing coursework in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and sometimes exposure to cloud platforms or coding certifications can be advantageous. Strong analytical thinking, effective communication, initiative, and the ability to work well within a team are valuable soft skills in this role. These skills and qualities ensure that interns can quickly contribute to projects, adapt to new technologies, and collaborate effectively with experienced professionals.

What kind of projects and tasks can I expect as a Computer Science Intern?

As a Computer Science Intern, you can expect to work on a variety of tasks such as writing and testing code, debugging software, supporting ongoing development projects, and collaborating on team-based assignments. Interns often contribute to designing features, fixing bugs, conducting research, or assisting in quality assurance under the guidance of senior engineers or mentors. The exact nature of your projects may vary based on the company and team, but you will typically gain hands-on experience with real-world software development tools and workflows. This exposure not only builds your technical skills but also helps you understand agile work environments and best practices, making it a valuable step toward a full-time role in the field.
More about Computer Science Intern jobs
What are the most commonly searched types of Computer Science jobs in Temecula, CA? The most popular types of Computer Science jobs in Temecula, CA are:
What are popular job titles related to Computer Science Intern jobs in Temecula, CA? For Computer Science Intern jobs in Temecula, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science Intern jobs in Temecula, CA look for? The top searched job categories for Computer Science Intern jobs in Temecula, CA are:
What cities near Temecula, CA are hiring for Computer Science Intern jobs? Cities near Temecula, CA with the most Computer Science Intern job openings:
Computer Science Intern jobs near you
Infographic showing various Computer Science Intern job openings in Temecula, CA as of May 2026, with employment types broken down into 20% Internship, 20% Full Time, and 60% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $39,524 per year, or $19 per hour.
Machine Learning Engineering Intern

Machine Learning Engineering Intern

Qeexo, Co.

San Clemente, CA • On-site

$25/hr

Full-time

Posted 14 days ago

Job description

Machine Learning Engineer Intern TDK SensEI San Clemente, CA
This position is for our San Clemente, CA office - only apply if you are based there or willing to relocate
At TDK SensEI, we are transforming how industrial customers utilize and interact with sensor data. We specialize in developing advanced AI solutions capable of running directly on edge devices. By processing data locally, TDK SensEI enhances real-time decision-making, privacy, security, and cost efficiency. Our offerings include automated machine learning tools, AI-powered condition-based monitoring systems, and various sensor devices optimized for low latency and power consumption. Collaborating with leading global companies, we empower teams to effortlessly devise and implement machine learning solutions for industrial applications, all without the need for coding.
We are looking for a machine learning intern who loves working with sensor data, loves developing novel algorithms, and has strong curiosity about developing new GenAI-based ML applications. You will be working with a highly capable team of machine learning engineers and software engineers and will have the opportunity to make a meaningful impact on important new product development.
As a Machine Learning Engineer Intern, your responsibilities will include:
1. Assist in Model Development: Collaborate with senior engineers to develop and train machine learning models tailored for edge devices.
2. Data Collection and Preprocessing: Gather and preprocess data from various sensors and sources to ensure high-quality inputs for AI models.
3. Prototype Development: Develop and test prototypes for new Gen AI-based use cases, ensuring they meet performance and reliability standards.
4. Performance Evaluation: Conduct experiments to evaluate the performance of AI models and edge solutions, identifying areas for improvement.
5. Collaboration: Work closely with cross-functional teams, including machine learning and software engineers, to integrate AI solutions into prototype systems.
Ideal Candidate
. Signal processing and machine learning (most likely in EE major)
. Computer vision (most likely in CS major)
. Language model (most likely in CS major)
• Deep knowledge of statistical and machine learning approaches and problem domains
• Machine Learning/Computer Science/Electrical Engineering background with strong coding ability and proficiency with Python or other OOP language
• Proven success with multiple ML/AI/classification projects (research papers, open-source implementations, etc.)
• Expertise in one or more specific areas of research: automated machine learning, anomaly detection, condition monitoring, predictive maintenance, neural nets, deep learning, signal processing, digital imaging, ensemble learning, and system identification
• Experience working with GenAI applications
• Comfortable working in a terminal environment, writing scripts (Bash/Python) to process data and implement algorithms
Skills & Requirements:
• Master's or PhD student
• Python or other modern OOP language (proficient)
• Data Structures and Algorithms (proficient)
• Deep Learning (proficient)
• Data Structures and Algorithms (familiar)
• Experience with Docker and AWS (familiar)
• US Work Authorization required
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About Qeexo

Sourced by ZipRecruiter

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012

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