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Machine Learning Summer Internship Jobs in Raleigh, NC

Analogdevices

Mixed Signal Engineer Intern

Durham, NC · On-site

$22 - $41/hr

Develop and validate machine learning models for analog design automation. * Analyze design data ... Internship/Cooperative Required Travel: Yes, 10% of the time The expected wage range for a new hire ...

Hitachi

2027 Summer Business Intern - Raleigh

Raleigh, NC · On-site +1

$15.25 - $19.25/hr

Our internships are designed tofirst and foremostact as a learning experience for students. Interns ... Internships are: * 12-week learning journey * Full-time, paid summer position * Opportunities ...

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All JobsMachine Learning Summer JobsMachine Learning Summer Internship JobsMachine Learning Summer Internship Jobs in Raleigh, NC

Machine Learning Summer Internship information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

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

As of Sep 1, 2026, the average yearly pay for machine learning summer internship in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a machine learning summer internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning summer internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

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 background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

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

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What are the most commonly searched types of Machine Learning Summer jobs in Raleigh, NC?

The most popular types of Machine Learning Summer jobs in Raleigh, NC are:

What are popular job titles related to Machine Learning Summer Internship jobs in Raleigh, NC?

For Machine Learning Summer Internship jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Summer Internship jobs in Raleigh, NC look for?

The top searched job categories for Machine Learning Summer Internship jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Machine Learning Summer Internship jobs?

Cities near Raleigh, NC with the most Machine Learning Summer Internship job openings:

Machine Learning Summer Internship jobs near you
Infographic showing various Machine Learning Summer Internship job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

Internship

Durham, NC • On-site

Durham Performing Arts Center
51 - 200 employees
Learn more about Durham Performing Arts Centerexternal

Temporary

Re-posted 27 days ago

Job description


An internship at DPAC provides engaging experiences for college students interested in a career that includes presenting and producing live entertainment events and or managing events at theaters and performing arts centers.
Internships are offered in a variety of departments, including Audience & Event Services, Business Management, Marketing, Guest Experience, Sponsorship Sales, and Ticketing.
Students in our program work alongside DPAC staff with hands-on training, valuable learning opportunities with real-world business skills, and the opportunity to participate in special projects that contribute to DPAC's success and ranking as one of the top-five theaters in America.
Requirements
For consideration, please submit a resume that highlights relevant experience, as well as a cover letter indicating interest.
  • To qualify for a DPAC internship, a student's internship must be tied to the intern's formal education program by integrated coursework and the receipt of academic credit. Per the Fair Labor Standards Act, students in a DPAC internship are not classified as an employee and these opportunities are unpaid.

Internships are available for the Fall, Spring, and Summer terms. Recommended application deadlines are as follows:
  • For fall semester consideration, please apply between: March 16 - June 15
  • For spring semester consideration, please apply between: June 16 - October 15
  • For summer semester consideration, please apply between: October 16 - March 15

Apply