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Undergraduate Machine Learning Internship Jobs in Raleigh, NC

Develop and validate machine learning models for analog design automation. * Analyze design data ... Currently enrolled in an Undergraduate, Masters, or PhD program: in Electrical Engineering ...

... Machine Learning Operations (MLOps) pathway. This pathway will bridge ongoing work in computer ... Additionally, the incumbent will train and manage undergraduate student interns, create and ...

Our courses attract undergraduates, graduate students, faculty and staff from across the university ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Our courses attract undergraduates, graduate students, faculty and staff from across the university ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

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Undergraduate Machine Learning Internship information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

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

As of Aug 30, 2026, the average yearly pay for undergraduate machine learning 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 an undergraduate machine learning internship?

An Undergraduate Machine Learning Internship is a temporary position designed for students pursuing a bachelor's degree who want hands-on experience in machine learning. Interns typically work on real-world projects involving data preprocessing, model development, and performance evaluation under the guidance of experienced engineers or researchers. They may also assist with research, implement algorithms, and optimize models for deployment. The role helps students gain practical skills in coding, data analysis, and machine learning frameworks while preparing them for future careers in AI and data science.

What types of projects or tasks can I expect to work on during an undergraduate machine learning internship?

As an Undergraduate Machine Learning Intern, you can expect to assist with tasks such as data preprocessing, model development and evaluation, and implementing machine learning algorithms under the guidance of experienced team members. You may also be involved in cleaning and exploring data sets, creating visualizations, and helping automate parts of the data pipeline. Collaborating with data scientists and engineers, you’ll likely participate in team meetings, code reviews, and brainstorming sessions to address real-world business or research challenges. These hands-on experiences are designed to help you build practical skills and gain exposure to the workflow of professional machine learning projects.

What are the key skills and qualifications needed to thrive in an undergraduate machine learning internship, and why are they important?

To thrive as an Undergraduate Machine Learning Intern, you typically need a strong foundation in mathematics, statistics, and programming (Python or R), often supported by ongoing studies in computer science, data science, or a related field. Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch, and familiarity with data analysis tools are commonly valued. Curiosity, strong problem-solving abilities, and the willingness to work collaboratively in a team make candidates stand out. These skills and qualities are crucial for learning quickly, making meaningful contributions to real projects, and growing in a fast-paced, technical environment.

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

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

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

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

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

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

Infographic showing various Undergraduate Machine Learning Internship job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

Summer 2027 Intern - Machine Learning Engineering

Workiva

Durham, NC • On-site, Remote

$40/hr

Full-time

Retirement

Posted 2 days ago

New


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 246 rated software companies


Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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