AI ML Engineering Internships
Ai ml engineering internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying machine learning models, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Food & Beverage lead in internship volume, with AMD, Campbell's, and Skyworks Solutions among the employers posting roles now.
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Showing 5 of 7+ AI ML Engineering Internships
Job Title: AI / ML Winter/Spring Co-Op (Jan-June '27)
Posting Start Date: 9/4/26
Job Location(s): Irvine
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78328
Job Description:
AI/ML Co-Op Engineering Coop
Skyworks Solutions is seeking an AI/ML Co-Op to join our enterprise AI/ML engineering team. This is a hands-on, full-time co-op role in which you will help design, build, and deploy machine learning solutions that support engineering and business teams across the company. Working alongside experienced engineers, you will take ownership of small projects end to end — from data gathering and analysis through prototyping, implementation, and documentation — while building practical experience with modern AI/ML tooling in a production environment. The position is intended for currently enrolled undergraduate or graduate students looking to apply their coursework to real-world engineering problems.
Primary Responsibilities
As an AI/ML Coop, you will support engineering efforts for AI and machine learning initiatives spanning multiple business units. You’ll lead small projects under the supervision of the enterprise AI/ML engineering team, collaborating with stakeholders from various departments. Your responsibilities will include:
Gathering and analyzing engineering and business data to identify opportunities for AI/ML solutions.
Developing code for core usecase functionality with guidance and gradually work independently
Designing and implementing new procedures and workflows for AI/ML projects.
Identifying bottlenecks and working with cross-functional teams to develop and deploy solutions.
Assisting with documentation, reporting, and other project deliverables.
This opportunity will allow you to sharpen your AI/ML skill sets, technical, and problem-solving skills in a dynamic business environment.
Required Experience and Skills
Current Junior/Senior undergraduate or Graduate student studying Computer Science, Data Science, Electrical, Mechanical, or Industrial Engineering for Co-Op in any of Skyworks office locations, preferably in Irvine, CA.
Must be able to temporarily relocate to work full-time hours from Jan to June or May/June – December 2027 at this location.
Experience using programming languages (Python), and AI/ML frameworks like Pytorch and understanding of AI algorithms.
Proficiency using VScode or other programming IDEs, ramp up learning curve on using code assists to complete tasks. Be able to quickly learn company-specific software (Agentic AI, LangChain, LangGraph, Genie, Databricks, PowerBI).
Desired Experience and Skills
Programming in Python 2 + years, understanding of AI/ML algorithms, be able to solve problems quickly
Self-starter with a strong work ethic, eager to tackle challenges and take ownership.
Willingness to work in a hands-on, collaborative environment.
Strong time management, communication, organization, and documentation skills.
Please note: If you have already graduated and are not currently enrolled in school, you are not eligible for this Coop position.
The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
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Job Title: AI / ML Winter/Spring Co-Op (Jan-June '27)
Posting Start Date: 9/4/26
Job Location(s): Irvine
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78328
Job Description:
AI/ML Co-Op Engineering Coop
Skyworks Solutions is seeking an AI/ML Co-Op to join our enterprise AI/ML engineering team. This is a hands-on, full-time co-op role in which you will help design, build, and deploy machine learning solutions that support engineering and business teams across the company. Working alongside experienced engineers, you will take ownership of small projects end to end — from data gathering and analysis through prototyping, implementation, and documentation — while building practical experience with modern AI/ML tooling in a production environment. The position is intended for currently enrolled undergraduate or graduate students looking to apply their coursework to real-world engineering problems.
Primary Responsibilities
As an AI/ML Coop, you will support engineering efforts for AI and machine learning initiatives spanning multiple business units. You’ll lead small projects under the supervision of the enterprise AI/ML engineering team, collaborating with stakeholders from various departments. Your responsibilities will include:
Gathering and analyzing engineering and business data to identify opportunities for AI/ML solutions.
Developing code for core usecase functionality with guidance and gradually work independently
Designing and implementing new procedures and workflows for AI/ML projects.
Identifying bottlenecks and working with cross-functional teams to develop and deploy solutions.
Assisting with documentation, reporting, and other project deliverables.
This opportunity will allow you to sharpen your AI/ML skill sets, technical, and problem-solving skills in a dynamic business environment.
Required Experience and Skills
Current Junior/Senior undergraduate or Graduate student studying Computer Science, Data Science, Electrical, Mechanical, or Industrial Engineering for Co-Op in any of Skyworks office locations, preferably in Irvine, CA.
Must be able to temporarily relocate to work full-time hours from Jan to June or May/June – December 2027 at this location.
Experience using programming languages (Python), and AI/ML frameworks like Pytorch and understanding of AI algorithms.
Proficiency using VScode or other programming IDEs, ramp up learning curve on using code assists to complete tasks. Be able to quickly learn company-specific software (Agentic AI, LangChain, LangGraph, Genie, Databricks, PowerBI).
Desired Experience and Skills
Programming in Python 2 + years, understanding of AI/ML algorithms, be able to solve problems quickly
Self-starter with a strong work ethic, eager to tackle challenges and take ownership.
Willingness to work in a hands-on, collaborative environment.
Strong time management, communication, organization, and documentation skills.
Please note: If you have already graduated and are not currently enrolled in school, you are not eligible for this Coop position.
The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
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AI ML Engineering Internship Market
Who's Hiring
Top Industries Hiring
- Food & Beverage
Tips for Your AI ML Engineering Internship Search
Apply in the fall for summer cohorts
Large technology companies and enterprise employers open summer ai ml engineering internship recruiting as early as August or September the year before. Smaller companies and co-op programs post much closer to start dates. Checking listings consistently through fall and winter means you reach both recruiting cycles without missing early deadlines.
Build a public portfolio before you apply
For ai ml engineering internships, a public GitHub repository with two or three documented projects carries more weight than a long list of coursework. Each project should show the dataset, the model or pipeline you built, the tools used, and the outcome. Recruiters screen candidates by clicking the link, so make sure every repository has a clear README.
Work campus channels and direct applications together
Campus career fairs surface structured internship programs explicitly tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Apply directly to smaller companies running their own cohorts at the same time, combining both channels reaches programs you'd miss by relying on either one alone.
Practice your technical screen out loud
Ai ml engineering internship interviews typically include a coding screen covering data structures, algorithms, and ML fundamentals, followed by questions where you explain your reasoning on a modeling problem. Practice solving problems while narrating your approach, since interviewers weigh how you think through a problem as much as whether you reach the correct answer.
Target structured ML internship programs early
Many larger technology and research employers run dedicated machine learning or AI internship cohorts designed to train people new to industry. These programs recruit early, fill fast, and offer structured mentorship and project rotations that are harder to replicate in an ad-hoc internship. Identify the programs that match your interests and submit in the first application window.
Set your work-type filter before you start
On-site roles are 0% of the ai ml engineering internships listed here. Decide what you can realistically commit to before you start applying so you're not sorting through roles in cities you can't relocate to or remote positions your program doesn't allow. Filter by location and work type on Migrate Mate to see only the listings that fit your situation.
AI ML Engineering Internships: Frequently Asked Questions
How do I get an ai ml engineering internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. A public GitHub repository with documented ML projects, model experiments, or data pipelines gives recruiters something concrete to assess. Apply directly to companies posting roles and attend campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai ml engineering internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for ai ml engineering interns is performance on real project deliverables, team headcount at the end of the summer, and how early return-offer decisions happen at that company. Position for one by owning your project outcomes, but keep applying to full-time roles in parallel so you're not counting on it.
When should I apply for ai ml engineering internships?
Earlier than most candidates expect. Large tech and enterprise employers open summer internship recruiting the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post much closer to the start date, so openings appear year-round. Checking listings regularly and setting alerts means you won't miss an early window at a program you want.
Are ai ml engineering internships paid?
Most professional ai ml engineering internships in the United States are paid. Compensation varies by company size, industry, and location, larger tech employers and financial services firms typically pay more than startups or nonprofits. Where an employer discloses a range, it appears in the listing, so you can compare before you apply.
What should an ai ml engineering internship resume include?
Lead with two or three complete, documented projects rather than work history. For each project, name the tools and frameworks used, PyTorch, TensorFlow, scikit-learn, SQL, and similar, and link to the code repository or published output so a recruiter can verify the work. Add relevant coursework in machine learning, statistics, or systems. Keep it to one page.
Are there remote ai ml engineering internships?
Yes. Remote and hybrid roles make up 100% of the ai ml engineering internship listings here, with the rest on-site. Remote cohorts fill fast because they attract applicants from every location, so apply early once you find a role that fits. Use the work-type filter to see only remote or hybrid listings without sorting through every posting.
What is an MLOps or research internship in ai ml engineering?
Some larger technology and research organizations run dedicated machine learning research or MLOps internship programs that focus specifically on production model deployment, infrastructure, or foundational research rather than applied product work. These programs target students earlier in their studies, recruit in the fall for the following summer, and are highly competitive, identify the ones aligned with your interests and apply in the first recruiting wave.
Can international students get ai ml engineering internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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