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

Analytica

2027 Summer Intern Associate

Bethesda, MD · Remote

$15.25 - $20.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis ... Support development of machine learning or statistical models * Prepare datasets for analysis and ...

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

Machine Learning Intern information

See Potomac, MD salary details

$26.4K

$44K

$91K

How much do machine learning intern jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning intern in Potomac, MD is $44,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $47,600.00 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.

More about Machine Learning Intern jobs
What cities near Potomac, MD are hiring for Machine Learning Intern jobs? Cities near Potomac, MD with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you

AI/Machine Learning Specialist

Black Canyon Consulting

Bethesda, MD

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

Overview

Black Canyon Consulting (BCC) seeks a AI/Machine Learning Specialist that will lead design and deployment of AI/ML models that advance MC&FP's mission outcomes while ensuring ethical and compliant use.

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

 Duties & Responsibilities:
  • Designs AI/ML prototypes, prompt engineering libraries, and ethical AI frameworks aligned with DoD AI Ethics Principles.
  • Implement data pipelines and model governance controls
  • Collaborate with DoD CIO on AI ethics and RMF AI risk alignment
Minimum Qualifications:
  • 8 + years of experience in AI, ML, or data science solutions
  • Bachelor's in Data Science, CS, or Engineering
  • Experience handling Controlled Unclassified Information (CUI) at minimum
  • Public Trust eligibility
    • must have at least Public Trust or ADP/IT-2 investigations
  • Experience with Python, TensorFlow, or PyTorch
Preferred Qualifications:
  • CQA, CMQ/OE, or equivalent certification
  • Experience supporting DoD quality programs
  • Experience handling Controlled Unclassified Information (CUI) at minimum
  • Experience supporting DoD quality programs
Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. The targeted range for this position is $135,000 - $205,000.

If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

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