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Machine Learning Intern Jobs in Raleigh, NC (NOW HIRING)

NonDuke Student Intern

Durham, NC · On-site

$14.50 - $19.25/hr

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes ...

Position Description Work. Serve. Thrive. With the City of Durham Advance in your career while making a real difference in the community you serve. HIRING Salary: $22.95 hour SCHEDULE: Part-Time, ...

Salary: See Position Description Location : 516 Rigsbee Avenue, Durham, NC Job Type: Internship w/o benefits (Less than 1000 hours) Job Number: 26-05888 Department: Community Safety Opening Date: 03 ...

NonDuke Student Intern

Durham, NC · On-site

$14.50 - $19.25/hr

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes ...

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Machine Learning Intern information

See Raleigh, NC salary details

$24.8K

$41.3K

$85.4K

How much do machine learning intern jobs pay per year?

As of Jul 2, 2026, the average yearly pay for machine learning intern in Raleigh, NC is $41,349.00, 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 are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Raleigh, NC? The most popular types of Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Machine Learning Intern jobs in Raleigh, NC? For Machine Learning Intern jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Machine Learning Intern jobs? Cities near Raleigh, NC with the most Machine Learning Intern job openings:
NonDuke Student Intern

NonDuke Student Intern

Duke University

Durham, NC • On-site

$14.50 - $19.25/hr

Other

Medical, Dental, Retirement, PTO

Posted 23 days ago


Duke University rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

446th of 544 rated colleges and universities


Job description

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.

NON-DUKE STUDENT - Psychiatry - BEHAVIORAL MEDICINE AND NEUROSCIENCES - BECKHAM LAB

Be You.

This position assists a multidisciplinary team developing a suicide prevention training for firefighters and first responders. Gatekeeper Training is an evidence-based prevention approach based on the idea that every member of an organization can help to reduce suicide if they learn to identify individuals at risk and to connect them with care. To maximize reach, this program will be disseminated via free in-person and virtual trainings that will be led by fire fighters and provided directly to career and volunteer fire fighters as well as support staff. The position works closely with the project team to support operations, maintain data quality, and contribute to the successful development, implementation and evaluation of the intervention.

Minimum Requirements: N/A

Preferred Qualifications: Undergraduate with an interest in psychology, PTSD, TBI, and suicide prevention.

Other Requirements: N/A

Be Bold.

Position Description:

  • remote eligible
  • Candidate will provide much-needed assistance on development of project content, including development of graphics and text for slides and editing slide presentations.
  • Assist with preparation of project summaries and reports.
  • Attend study meetings and contribute to project planning, problem-solving, and ongoing study operations.

Choose Duke.

The Department of Psychiatry & Behavioral Sciences, founded in 1943, is one of 26 departments in the Duke University School of Medicine (SOM). The department is comprised of more than 500 faculty, staff, and trainees. Our goal is to help people with behavioral health challenges live their best life. We pursue this goal through a three-fold mission of superior specialty and integrated patient care for all, ground-breaking research, and exceptional training and education.

Duke University is consistently ranked among the top universities worldwide and is renowned for its cutting-edge research across disciplines. Beyond the engaging work, you'll also benefit from Duke's competitive benefits package, including health insurance plans, generous paid time off, retirement programs with employer contributions, tuition assistance for employees and their children, and more.

Screening of Applications:

  • Screening deadline is July 8, 2026.

Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $0.00 to USD $0.00. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.


Your total compensation goes beyond thedollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/


Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy- related conditions), sexual orientation, or military status.


Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).

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About Duke University

Sourced by ZipRecruiter

Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US