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Machine Learning Intern Jobs in Baltimore, MD (NOW HIRING)

Theirc

Walk-in Services Intern (Fall 2026)

Silver Spring, MD

$15.50 - $20.75/hr

LEARNING OBJECTIVES Intern will gain US resettlement agency experience, including assessing a high volume and broad range of new potential clients. Intern will acquire knowledge of internal programs ...

Fellowship of Christian Athletes

Intern

Baltimore, MD · On-site

$15 - $19.75/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

Fellowship of Christian Athletes

Intern

Bel Air, MD · On-site

$14.25 - $19/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

Theirc

Extended Services Intern

Baltimore, MD

$15 - $19.75/hr

The ICM and SOR intern will support case management to single-headed refugee households; survivors ... Reports To Extended Services Coordinator or Caseworker Learning Objectives * Gain an understanding ...

HCI

AI Summer Intern

Ellicott City, MD

$15 - $20/hr

AI Intern 2026 AI Developer Intern -- 60-90 Day Summer Internship What We're Looking For HCIactive is a forward-thinking, highly experienced AI development organization that has fully transformed ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Baltimore, MD

Machine Learning Intern information

See Baltimore, MD salary details

$25.3K

$42.3K

$87.4K

How much do machine learning intern jobs pay per year?

As of Jun 24, 2026, the average yearly pay for machine learning intern in Baltimore, MD is $42,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Baltimore, MD? The most popular types of Machine Learning jobs in Baltimore, MD are:
What are popular job titles related to Machine Learning Intern jobs in Baltimore, MD? For Machine Learning Intern jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Baltimore, MD look for? The top searched job categories for Machine Learning Intern jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Machine Learning Intern jobs? Cities near Baltimore, MD with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Baltimore, MD as of June 2026, with employment types broken down into 2% Internship, 11% Full Time, and 87% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,313 per year, or $20.3 per hour.
AI Intern

AI Intern

By Light Professional IT Services LLC

Hanover, MD • On-site

Other

Posted 11 days ago

Job description

Company Overview
By Light Professional IT Services LLC readies warfighters and federal agencies with technology and systems engineered to connect, protect, and prepare individuals and teams for whatever comes next. Headquartered in McLean, VA, By Light supports defense, civilian, and commercial IT customers worldwide.
Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of modeling and simulation (M&S) training solutions to the Federal Government and industry. Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation-based training, serious gaming, technical services, training and other support in live, virtual, constructive, and gaming (LVCG) domains. CESI also designs, builds and runs infrastructure, platforms, applications and processes that enable cyber training for the integrated multi-domain force. Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer, integrator and services provider.
Position Overview
We are seeking a highly motivated and detail-oriented Intern to join our team. As an Intern, you will have the opportunity to work on a cutting-edge project that involves developing a web-based interface for a scalable, cloud-native platform designed to manage and orchestrate complex AI workflows. This platform is built on top of a robust, open-source architecture used by leading organizations in the industry. Your contributions will play a crucial role in shaping the user experience and ensuring the platform's usability and accessibility.
This is an onsite position located in Hanover, MD.
Responsibilities
  • Collaborate with the development team to design and implement a user-friendly web-based interface for the platform.
  • Develop high-quality, responsive, and interactive components using modern web dev tech stacks.
  • Work with existing backend services to integrate capability, ensuring seamless data exchange and API interactions.
  • Participate in code reviews, contribute to the improvement of the codebase, and maintain high standards of coding quality.
  • Develop and maintain documentation for the components, ensuring that it is accurate, up-to-date, and accessible to the development team.
  • Collaborate with the design team to ensure that the front-end aligns with the company's visual identity and design principles.
  • Troubleshoot and resolve issues, working closely with the development team to resolve any technical challenges.

Required Experience/Qualifications
  • Proficiency in HTML, CSS, and JavaScript with experience in front-end development frameworks such as React or Angular.
  • Experience with responsive software development and design principles.
  • Entry level understanding of AI/ML.
  • Strong understanding of RESTful APIs and experience with API integration.
  • Excellent problem-solving skills, with the ability to troubleshoot and resolve complex front-end issues.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Experience with version control systems, such as Git, and familiarity with Agile development methodologies.

Required Education: Working towards a Bachelor's or Master's degree in a technical discipline such as cybersecurity, computer engineering, computer science or information technology from an accredited college or university.
Preferred Experience/Qualifications
  • Experience with cloud-based platforms and containerization technologies, such as Docker.
  • Familiarity with machine learning or data science concepts and experience with data visualization tools.
  • Experience with testing frameworks, such as Jest or Enzyme.

Special Requirements/Security Clearance
Please note that pursuant to a government contract, this specific position requires U. S. Citizenship status with ability to obtain a SECRET to TOP SECRET security clearance. Security Clearance requirements will be specified in the Government's Task Order.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. The above is intended to describe the general contents of and requirements for the performance of this job.
CESI is committed to principles of inclusion and equal employment opportunity. We foster a non-discriminatory, professional work environment for all our teams. We do not discriminate based on race, color, religion, sex, pregnancy, sexual orientation, gender identity, genetic information, national origin, age, marital status, disability, or veteran status.

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