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

HCI

AI Fall Intern

Ellicott City, MD

$30 - $40/hr

AI Developer Intern -- 90 Day Internship with Potential Full-Time Opportunity What We're Looking ... communication skills, learning speed, initiative, and alignment with HCIactive's AI-first ...

Theirc

Walk-in Services Intern (Fall 2026)

Silver Spring, MD

$15.50 - $20.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Hagerstown, MD · On-site

$14 - $18.75/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 ...

Theirc

Refugee Barrier Reduction Intern (Fall 2026)

Silver Spring, MD

$15.50 - $20.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

LEARNING OBJECTIVES: * Intern will gain insights intoIRC casework and workforce programs and the process of refugee and asylee integration within the United States. * Intern will learn to communicate ...

Theirc

Community Engagement Intern (Fall 2026)

Silver Spring, MD · On-site

$15.50 - $20.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Coordinate in-kind donation opportunities LEARNING OBJECTIVES * Intern willacquiredetailed knowledge of programs available for refugees and asyleesby way of a humanitarian non-profit. * Internwill ...

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Showing results 21-40

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

Machine Learning Intern information

See Clarksburg, MD salary details

$26.3K

$43.9K

$90.7K

How much do machine learning intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning intern in Clarksburg, MD is $43,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 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 Clarksburg, MD? The most popular types of Machine Learning jobs in Clarksburg, MD are:
What job categories do people searching Machine Learning Intern jobs in Clarksburg, MD look for? The top searched job categories for Machine Learning Intern jobs in Clarksburg, MD are:
What cities near Clarksburg, MD are hiring for Machine Learning Intern jobs? Cities near Clarksburg, MD with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Clarksburg, MD as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,894 per year, or $21.1 per hour.

Deep Learning Expert/Developer (On-site)

Ripple Effect

Bethesda, MD

$90K - $103K/yr

Full-time

Posted 17 days ago

Job description

General Information 
  • Job Code: SHR-BI-03
  • Location: NIH Campus onsite, with ad-hoc telework
  • Employee Type: Exempt, Full-Time Regular
  • Clearance: Must be able to work in the U.S. without employer sponsorship
  • Salary Range: $90,267-$103,808  (how we pay and promote)  
Position Overview 

Are you passionate about turning complex data into meaningful insights? As a Deep Learning Developer on the Ripple Effect team, you will play a pivotal role in shaping our success in this important role with the NIH! Your work will directly impact the Lister Hill Center's work. This position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments.

While not an exhaustive list, the key duties for the position include: 

    • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records.
    • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as other patient data.
    • Build and optimize deep learning tools for deployment on Android/iOS/Web-based platforms.
    • Other related duties as assigned.

Requirements

Minimum Qualifications  
  • Master's degree
  • 5 or more years of experience in image analysis, machine learning, and deep learning
Basic Requirements  
    • Proven experience writing manuscripts or papers for journals and conferences.
    • Extensive experience with medical image processing, data analysis, and classification techniques.
    • Expertise in developing custom deep learning workflows, including visualizing activations.
    • Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs).
    • Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM.
    • Experience in statistical analysis of experimental results.
    • Familiarity with Linux and Windows environments.
    • Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks.
    • Expertise in programming with Python, Keras, and PyTorch.
    • Experience in developing Android, iOS, or web applications.
    • Must reside within a commutable distance from the NIH main campus in Bethesda, MD, and be willing to report on site on a daily basis for this role.

Skills That Set You Apart 

  • PhD in computer science, computer engineering, or relevant field
  • Familiarity with Linux and Windows environments.
  • Intermediate experience with (levels 03+) Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint. 
  • Intermediate experience with workplace AI tools, including their limitations and risks, and how they can be applied to support project management tasks. 

About Ripple Effect 

Ripple Effect is a woman-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the "Best and Brightest Companies to Work For" in 2024 and 2025 by the NABR, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors. 

Benefits

At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences.  

Learn more about our benefits and culture here. 

Apply