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Machine Learning Summer Intern Jobs (NOW HIRING)

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Past intern projects have been the focus of demos to VCs and state-level policy leaders.

Mercer University

Mercer Votes Summer Intern

Macon, GA

$21 - $23/hr

The Center for Engaged Learning is recruiting a summer intern to assist with nonpartisan voter registration, voter education, and student outreach during summer orientation and Opening Day. The ...

HCI

AI Summer Intern

Ellicott City, MD

$15 - $20/hr

AI Intern 2026 AI Developer Intern -- 60-90 Day Summer Internship What We're Looking For HCIactive is a forward-thinking, highly experienced AI development organization that has fully transformed ...

Mountain Valley Bank

Summer Intern

Dunlap, TN

$12/hr

Mountain Valley Bank Job Title Summer Intern Department: Administration (Rotational Assignments ... Learning Objectives Interns will have opportunities to develop: * Professional workplace etiquette

New

University of Pennsylvania

Summer Intern

Ralston, NE

$7.25 - $15/hr

... learning. As an employer Penn has been consistently ranked nationally on many occasions with the ... Posted Job Title Summer Intern Job Profile Title Temporary Employee - Non-Exempt Summary The Age of ...

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All JobsMachine Learning Summer Intern Jobs

Machine Learning Summer Intern information

See salary details

$25.5K

$42.6K

$88K

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

As of Jul 9, 2026, the average yearly pay for machine learning summer intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What types of projects do Machine Learning Summer Interns typically work on, and how do these contribute to the team's goals?

Machine Learning Summer Interns often work on focused projects such as data preprocessing, developing and testing machine learning models, or contributing to research and prototyping efforts. These projects are designed to provide practical experience while directly supporting the team's ongoing initiatives, such as improving model accuracy or automating data pipelines. Interns usually collaborate closely with data scientists and engineers, gaining mentorship and exposure to real-world problem-solving. This hands-on involvement helps interns understand the end-to-end process of deploying machine learning solutions and prepares them for future roles in the field.

What is the difference between Machine Learning Summer Intern vs Data Science Summer Intern?

AspectMachine Learning Summer InternData Science Summer Intern
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some experience in ML frameworksUndergraduate or graduate in statistics, CS, or related fields; experience in data analysis
Work EnvironmentDeveloping ML models, algorithms, and prototypes in tech or research companiesAnalyzing datasets, creating reports, and supporting data-driven decisions in various industries
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, marketing, and tech firms

While both roles involve working with data, Machine Learning Summer Interns focus on developing algorithms and models, whereas Data Science Summer Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and project scope.

What are the key skills and qualifications needed to thrive as a Machine Learning Summer Intern, and why are they important?

To thrive as a Machine Learning Summer Intern, you need a solid understanding of programming (especially Python), foundational knowledge of machine learning concepts, and coursework or experience in statistics and mathematics. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate and adapt in a fast-paced research or development setting. These abilities are crucial for contributing to real-world projects, learning from experienced mentors, and building a foundation for a future career in machine learning.

What are Machine Learning Summer Interns?

Machine Learning Summer Interns are students or recent graduates who work temporarily at a company, usually during the summer, to gain practical experience in machine learning. They typically assist with data analysis, model development, and research tasks under the supervision of experienced data scientists or engineers. This role allows interns to apply their academic knowledge to real-world problems, learn industry tools and workflows, and build professional networks. Internships often serve as a stepping stone to full-time positions in machine learning or related fields.
What cities are hiring for Machine Learning Summer Intern jobs? Cities with the most Machine Learning Summer Intern job openings:
What are the most commonly searched types of Machine Learning Summer jobs? The most popular types of Machine Learning Summer jobs are:
What states have the most Machine Learning Summer Intern jobs? States with the most job openings for Machine Learning Summer Intern jobs include:
Machine Learning Summer Intern jobs near you
Infographic showing various Machine Learning Summer Intern job openings in the United States as of July 2026, with employment types broken down into 18% Internship, 1% As Needed, 50% Full Time, 28% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
AI & Machine Learning Summer/Fall Co-Op (June '26 - Dec '26)

AI & Machine Learning Summer/Fall Co-Op (June '26 - Dec '26)

Skyworks

Irvine, CA • On-site

$22.50 - $42/hr

Full-time, Temporary

Re-posted 29 days ago

Job description

AI & Machine Learning Summer/Fall Co-Op (June '26 - Dec '26)
Posting Start Date: 6/1/26
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: 76559
Job Description:
Description
As an AI/ML Co-op, 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.
Term: Summer/Fall Co-Op (June '26 - Dec '26)
Responsibilities
Your responsibilities will include:
  • Gathering and analyzing engineering and business data to identify opportunities for AI/ML solutions.
  • Developing code for core use case 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, technical, and problem-solving skills in a dynamic business environment.
Required Experience and Skills
  • Current Junior/Senior undergraduate studying Computer Science, Data Science, Electrical, Mechanical, or Industrial Engineering
  • Must be able to temporarily relocate to work on-site, full-time hours from June 2026 to December 2026
  • Experience using programming languages (Python), and AI/ML frameworks like Pytorch, and an 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).

Desired Experience and Skills
  • Programming in Python for over 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 Co-Op position.
#LI-DNI
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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About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. 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.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US

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