1

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

Diagnostics Intern

Raleigh, NC ยท On-site

$14.50 - $19.50/hr

Responsibilities In this position the qualified individual will work with a team of engineers to provide engineering services on diagnostics related projects, including forensics, restoration ...

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 ...

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 ...

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, ...

Showing results 41-55

Machine Learning Intern information

See Cary, NC salary details

$23.6K

$39.5K

$81.5K

How much do machine learning intern jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning intern in Cary, NC is $39,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 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 Cary, NC? The most popular types of Machine Learning jobs in Cary, NC are:
What are popular job titles related to Machine Learning Intern jobs in Cary, NC? For Machine Learning Intern jobs in Cary, NC, the most frequently searched job titles are:
What cities near Cary, NC are hiring for Machine Learning Intern jobs? Cities near Cary, NC with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Cary, NC as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $39,450 per year, or $19 per hour.

Undergraduate Technical Intern - Multiscale Systems Science

Pacific Northwest National Laboratory

Raleigh, NC โ€ข On-site

$14.50 - $19.50/hr

Other

Medical, Retirement

Posted 4 days ago


Job description

Overview

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.

Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.

The Earth and Biological Sciences Directorate (EBSD) leads critical research in four areas: Atmospheric, Climate & Earth Sciences, Biological Sciences, Environmental Molecular Sciences, and Global Change. Our vision is to develop a predictive understanding of biological and Earth systems in transition. We aim to understand energy and material flows within the integrated Earth system; to understand, predict, and control the response of biosystems to environmental and/or genomic changes; and to?? Model the Earth system from the subsurface to the atmosphere.?

The?Biological Sciences Division?has 17 collaborative, interdisciplinary biology-based teams to tackle major challenges in ecosystem sustainability, bioenergy, human health, and national security. Teams use unique field sites, advanced instrumentation, and integrated computational approaches to explore molecular-scale processes. Strategic efforts focus on advancing molecular measurement capabilities, uncovering the structure and function of molecular dark matter, identifying control points in complex systems, and developing domain-aware AI to accelerate discovery and hypothesis-driven research.

Responsibilities

This position will support the Multiscale System Science Group's Strategic Scientific Objective on identifying control points for manipulating multiscale systems. The Multiscale Systems Science Group is seeking an undergraduate student research technician to help design, develop, and maintain AI-driven workflows to assist in the automated drafting of scientific papers, including data analysis, figure generation, and reference management. This role involves building and integrating a modular, agent-based pipeline that supports tasks such as research gathering, writing, scientific validation, and document formatting. The candidate will work closely with scientific staff to ensure accuracy and reliability of outputs, while continuously evaluating and improving system performance. Additional responsibilities include developing and refining data analysis workflows for multiple scientific domains, collaborating with subject matter experts to guide and validate results, and implementing safeguards to mitigate risks associated with AI-generated content. The ideal candidate will be comfortable working at the intersection of software development and scientific research, contributing to a human-in-the-loop system designed to streamline the scientific writing process.

Qualifications

Minimum Qualifications:

  • Candidates must have a high school diploma /GED or higher

  • Candidates must be degree-seeking undergraduate students enrolled at an accredited college or university

  • Candidates must be taking at least 6 credit hours and have an overall cumulative GPA of 2.50

Preferred Qualifications:

  • Preferred areas of study include the sciences (biology, chemistry, computational science, data science, or engineering) with a strong interest in artificial intelligence/machine learning.

  • Cumulative GPA of 3.0 or higher preferred.

  • Must be detail oriented, able to work with minimal supervision, possess strong communication skills and able to work in a team environment.

Hazardous Working Conditions/Environment

Not applicable.

Testing Designated Position

This is not a Testing Designated Position (TDP).

About PNNL

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

Commitment to Excellence and Equal Employment Opportunity

Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.

Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov .

Drug Free Workplace

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

Security, Credentialing, and Eligibility Requirements

As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.

Mandatory Requirements

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Rockstar Rewards

Regular Hourly:

Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met.

Temporary Hourly:

Employees are offered an employee assistance program and business travel insurance.

Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards)

Notice to Applicants

PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.

As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.

Minimum Salary

USD $17.13/Hr.

Maximum Salary

USD $27.02/Hr.


Pacific Northwest National Laboratory logo

About Pacific Northwest National Laboratory

Sourced by ZipRecruiter

Pacific Northwest National Laboratory (PNNL) is a premier research institution based in Richland, Washington, US. Operated by Battelle Memorial Institute under contract to the US Department of Energy (DOE), it is one of the DOE's seventeen national laboratories. PNNL primarily specializes in fields such as environmental science, energy, nuclear science, and national security. Founded in 1965, the lab has since been committed to its core values of integrity, creativity, collaboration, impact, and courage. Their mission is "to transform the world through courageous discovery and innovation." Notable achievements include significant contributions to projects like the Human Genome Project and the development of grid-friendly appliances.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Richland, WA, US

Year founded

1965