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Ml Engineer Intern Jobs in Raleigh, NC (NOW HIRING)

Intern Program - Engineering Pathways

Raleigh, NC · Hybrid

$16.25 - $21.25/hr

Our intern program would suit candidates with interest across engineering -- from the hardware ... AI & Machine Learning -- Develop or optimize AI/ML solutions and apply technologies such as LLMs ...

As an intern, you will work closely with engineering, design, and data science partners to support ... such as APIs, ML models, and data flows-into clear user stories. • Collaborate with cross ...

As an intern, you will work closely with engineering, design, and data science partners to support ... such as APIs, ML models, and data flows-into clear user stories. • Collaborate with cross ...

As an intern, you will work closely with engineering, design, and data science partners to support ... Translate technical concepts-such as APIs, ML models, and data flows-into clear user stories.

As an intern, you will work closely with engineering, design, and data science partners to support ... Translate technical concepts-such as APIs, ML models, and data flows-into clear user stories.

Ml Engineer Intern information

See Raleigh, NC salary details

$10

$18

$28

How much do ml engineer intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ml engineer intern in Raleigh, NC is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What is an ML Engineer Intern?

ML (Machine Learning) Engineer Interns are students or recent graduates who assist in designing, building, and deploying machine learning models under the guidance of experienced professionals. Their responsibilities often include data preprocessing, experimenting with algorithms, evaluating model performance, and collaborating with software engineers and data scientists. ML Engineer Interns gain hands-on experience with programming languages like Python, libraries such as TensorFlow or PyTorch, and tools for data analysis. This role is a valuable opportunity to learn how machine learning solutions are developed and applied in real-world scenarios.

What does an ML Engineer Intern do?

As an ML Engineer Intern, you can expect to work on a variety of projects ranging from data preprocessing and cleaning to building and testing machine learning models under the guidance of senior engineers. Interns often contribute to tasks such as feature engineering, model evaluation, and deploying models into production environments. You may also collaborate with data scientists and software engineers to integrate ML solutions into larger systems or products. This hands-on experience not only helps develop your technical skills but also provides insight into industry-standard workflows and team structures.

What are the key skills and qualifications needed to thrive as an ML Engineer Intern?

To thrive as an ML Engineer Intern, you need a solid foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by coursework or hands-on projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is expected. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and learn quickly in team environments. These skills are important because they enable interns to contribute meaningfully to real ML projects while rapidly acquiring new knowledge and adapting to evolving technologies.

What is the difference between Ml Engineer Intern vs Data Scientist Intern?

AspectML Engineer InternData Scientist Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of machine learning frameworksSimilar educational background; strong statistical and analytical skills; familiarity with data analysis tools
Work EnvironmentFocus on developing and deploying machine learning models, coding in Python, TensorFlow, or PyTorchFocus on analyzing data, creating visualizations, and deriving insights from datasets
Employer & Industry UsageCommon in tech companies, AI startups, and research labsWidely used across tech, finance, healthcare, and consulting firms

Both roles are entry-level internships requiring a background in data-related fields. ML Engineer Interns focus on building and deploying machine learning models, while Data Scientist Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and daily tasks.

What are the most commonly searched types of Ml Engineer jobs in Raleigh, NC?

The most popular types of Ml Engineer jobs in Raleigh, NC are:

What are popular job titles related to Ml Engineer Intern jobs in Raleigh, NC?

For Ml Engineer Intern jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Ml Engineer Intern jobs?

Cities near Raleigh, NC with the most Ml Engineer Intern job openings:

Infographic showing various Ml Engineer Intern job openings in Raleigh, NC as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $39,053 per year, or $18.8 per hour.

Intern Program - Engineering Pathways

ARM

Raleigh, NC • Hybrid

$16.25 - $21.25/hr

Full-time, Internship

Posted 4 days ago


Job description

Arm technology powers billions of devices, and our goal is to find students who want to help build what comes next! Our intern program would suit candidates with interest across engineering — from the hardware inside the chip to the software and tools that bring it to life.

What you could be doing?

Internships span several areas, with some projects crossing more than one:

Hardware & Chip Design — Work with digital logic, RTL, FPGA, circuits, physical design or semiconductor technology.

Testing & Validation — Test and debug technology through simulation, automation, test environments or lab work.

Systems & Performance — Explore architecture, workloads and system behavior through modeling, simulation and benchmarking.

AI & Machine Learning — Develop or optimize AI/ML solutions and apply technologies such as LLMs and agentic AI.

Software & Tools — Build software, automation and engineering tools using C/C++, Python, Linux, embedded systems or CI/CD.

Technical Enablement — Help developers and partners succeed with Arm through coding, technical problem-solving, research and communication.

Technical Product & Programs — Help shape and deliver technical products and programs through strategy, data, planning, customer insights and cross-functional coordination.

We are looking for individuals who:


Are currently enrolled in a Bachelor's, Master's or PhD program in Electronic Engineering, Computer Engineering, Computer Science, Software Engineering, Data Science, or another relevant technical or quantitative field. Some opportunities may require a specific degree level, area of study or technical background.

We're interested in students who enjoy technology, problem-solving, collaboration and continuous learning. Relevant experience can come from coursework, labs, research, personal projects, hackathons, student organizations, previous internships or other hands-on work.

Qualities that will help your application stand out:


Experience in every area isn't expected. We're interested in examples of:

  • Building, testing, debugging, analyzing, modeling or improving something technical.
  • Applying programming, hardware, AI/ML, data, simulation or other engineering tools.
  • Solving problems, learning new technology and collaborating effectively with others.


As part of the application, we'll ask about interests, experience and technologies used. We'll review those responses alongside the resume to match candidates with available opportunities.

We encourage early applications as we review them on a first come/first served basis.

Arm internships require you to be currently enrolled in a college or university degree program and returning to your studies after completing your internship.

Please note we are unable to provide visa sponsorship for this role. Applicants must have the right to work in the country where the internship is based, without relying on sponsorship by Arm, for the full duration of the internship.

In Return:


Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration. #getreadytogrow

#LI-AB1

#A102, #A103, #A105, #E102, #H101, #M101, #P102, #P103, #P104,#S104, #T101, #V1

In addition to a competitive salary and rewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.

This is a non-exempt hourly role which will be paid at an hourly rate based on the number of hours worked. Pay rates vary by location and educational level.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employment Type: Internship