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Internship Intelligent Systems Engineering Jobs (NOW HIRING)

Franklin Electric

Systems Engineering Intern

Fort Wayne, IN · On-site

$16.50 - $21.50/hr

Internship Employment Type: Internship Location: US - Indiana - Fort Wayne Description We are seeking a Senior-Level Systems Engineering Intern to support the development and sustainment of ...

Shield AI

Staff Engineer, Systems (R4625)

San Diego, CA · On-site

... with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

Shield AI

Staff Engineer, Systems (R4625)

San Diego, CA · On-site

$141K - $212K/yr

... with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

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How much do internship intelligent systems engineering jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for internship intelligent systems engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is an intelligent systems engineering salary?

The salary for an internship in intelligent systems engineering typically ranges from $15 to $30 per hour, depending on the location, company, and level of education. Interns often work with skills in programming, machine learning, and robotics, and may receive additional benefits such as mentorship and training opportunities.

How much do AI engineer interns get paid?

AI engineer interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often include opportunities to work with machine learning frameworks and programming languages like Python or TensorFlow.

What is the difference between Internship Intelligent Systems Engineering vs Internship Robotics Engineering?

AspectInternship Intelligent Systems EngineeringInternship Robotics Engineering
Required CredentialsRelevant coursework, basic programming skills, possibly some certifications in AI or systemsSimilar credentials, with additional focus on mechanical design and embedded systems
Work EnvironmentSoftware development, data analysis, AI model training in tech or research labsHardware assembly, testing, and programming in robotics labs or manufacturing settings
Employer & Industry UsageTech companies, research institutions, AI startupsManufacturers, automation firms, robotics startups

Internship Intelligent Systems Engineering and Internship Robotics Engineering share overlapping skills in programming and technical knowledge. However, Intelligent Systems internships focus more on AI, data analysis, and software development, while Robotics Engineering internships emphasize hardware, mechanical systems, and embedded programming. Both roles prepare interns for careers in high-tech industries, but their core focus areas differ based on the nature of the work environment and industry applications.

What do intelligent system engineers do?

Intelligent system engineers design, develop, and implement systems that incorporate artificial intelligence, machine learning, and data analysis to solve complex problems. They work with algorithms, programming languages, and tools like Python or MATLAB, often collaborating with cross-disciplinary teams to create autonomous or adaptive systems.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or systems engineering can earn $500,000 or more annually, often through senior roles, bonuses, or stock options. These positions typically require advanced skills, extensive experience, and sometimes leadership responsibilities in high-demand industries.
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Internship Intelligent Systems Engineering jobs near you
Infographic showing various Internship Intelligent Systems Engineering job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Machine Learning Engineer - Intelligent Quality Systems

Machine Learning Engineer - Intelligent Quality Systems

Apple

Cupertino, CA • On-site

Full-time

Posted 17 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Our team of applied ML and software engineers builds intelligent systems that help Apple's OS software ship faster and with higher quality. We apply state-of-the-art ML, LLMs, computer vision, retrieval systems, and large-scale data analysis throughout the software lifecycle. If you're excited by using ML to solve real, large-scale problems in software quality, we have challenging and meaningful work to do together.
Description
The Intelligent Quality Systems team designs and builds ML-powered systems that transform how Apple approaches software quality at scale. We work across the testing lifecycle: intelligently selecting which tests are most relevant to a code change, automatically triaging test failures to their root cause, validating UI and audio experiences with vision models, surfacing test coverage gaps from change descriptions and defect history, and building the data platforms that tie it all together. In this role, you'll bring ML ideas to life on real-world, large-scale software systems. You'll prototype and evaluate techniques for problems like change-impact prediction, LLM-powered failure analysis, multimodal UI regression detection, and automated test recommendation. You'll design data collection and evaluation strategies, work with large-scale test result and code change data, and build systems robust enough to operate reliably across one of the world's largest software engineering organizations. You will be a crucial bridge between research ideas and production reality, identifying gaps in data quality, modeling assumptions, and system design before they become issues at scale. You'll succeed here if you enjoy turning ideas into working ML systems, care deeply about measurement and rigorous evaluation, and find it rewarding to see your work directly improve the productivity and quality of software shipped to hundreds of millions of people.
Minimum Qualifications
3+ years of experience with machine learning in academic or professional settings, with demonstrated work on substantial ML projects beyond coursework
Strong programming and software engineering skills; ability to write clean, maintainable, production-quality code
Practical understanding of ML fundamentals, model training, evaluation, and debugging, and ability to implement algorithms from papers or specifications
BS or MS in Computer Science, Machine Learning, Statistics, or a related field
Preferred Qualifications
Experience with NLP, large language models, code understanding, or retrieval-augmented generation (RAG)
Background in computer vision or multimodal ML
Experience building or maintaining data pipelines and ML infrastructure at scale
Familiarity with software testing, CI/CD systems, or developer tooling
Experience working with large-scale structured or semi-structured data (logs, test results, code diffs)
Comfort operating in environments where ground truth labels are noisy, ambiguous, or expensive to obtain

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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