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

Science Systems & Applications

Student Intern

Lanham, MD · On-site

$20/hr

Science Systems and Applications Inc. (SSAI) is seeking a student intern ( approximately 10 hours ... Enhancing full-waveform lidar data analysis using machine learning techniques (improving pulse and ...

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 Rockville, MD

Machine Learning Intern information

See Rockville, MD salary details

$26K

$43.4K

$89.7K

How much do machine learning intern jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning intern in Rockville, MD is $43,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

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Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Rockville, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $43,405 per year, or $20.9 per hour.

WBG Pioneers - Knowledge Management and Learning Intern

The World Bank Group

Washington, DC • On-site

$17 - $22.75/hr

Internship

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

The Global Environment Facility (GEF) is a multilateral financial mechanism created in 1991 to provide grant and concessional funds to recipient countries for projects and programs that address biodiversity loss, climate change mitigation and adaptation, degradation of international waters, land and forests, ozone depletion, elimination or reduction of persistent organic pollutants and mercury, all within the framework of sustainable development.  

The GEF unites 186 countries in partnership with international institutions, civil society organizations (CSOs), and the private sector to address global environmental issues while supporting national sustainable development initiatives. An independently operating financial organization, GEF is the designated financial mechanism for five international environmental conventions: the Convention on Biological Diversity, the Stockholm Convention on Persistent Organic Pollutants, and the UN Framework Convention on Climate Change (UNFCCC) and Minamata Convention on Mercury. GEF is also a designated financial mechanism of the UN Convention to Combat Desertification.  

In the years since its establishment, the GEF has funded over 4,500 projects in 170 countries, and many thousands more through the GEF Small Grants Program, providing 20.5 billion in grants that leveraged 112 billion in co-financing. The GEF Secretariat, construed for administrative purposes as a Vice-Presidential Unit (VPU) within the World Bank, has approximately 100 professional and administrative, and client support staff. 

The GEF Council recently approved a new strategy for Knowledge Management and Learning (KM&L) that will enable the GEF to pursue three main objectives: 

  • Embed cutting-edge knowledge into investments and generate public goods in line with GEF mandate and enhance the role of knowledge management in projects and programs.  
  • Increase knowledge flows through platforms through partnership and communities of practice; and  
  • Create and enable the environment for learning and capacity building for greater exchange of knowledge and collaboration across the partnership.  
The GEF Secretariat is seeking to recruit a highly motivated postgraduate for a 6-months internship to support implementation of the Strategy. The successful candidate will work directly with the KM&L team and report to the Manager of the Integration and Knowledge Management Division.  

Duties and Responsibilities  

The intern will have an opportunity to interact with a range of GEF Secretariat staff, and particularly those concerned with information technology and its impacts at different levels. He / She will focus specifically on the following tasks: 
  • Coordinate training sessions for GEFSEC on the use Microsoft Teams Channels, SharePoint Files and other collaboration tools. 
  • Monitor the use of Collaboration tools such as MS Teams and SharePoint and produce periodic reports to identify usage gaps. 
  • Work with the Senior KM Specialist to develop a plan to incentivize the use of Collaboration tools in GEFSEC. 
  • Participate in the migration of legacy SharePoint Files to the new WBG platform. 
  • Develop a profile of networking needs for development of the GEF knowledge and collaboration platform. 
  • Assist with the development of knowledge sharing strategies and tools, including categories and types of knowledge products, their sources of origin, target audience and dissemination channels. 
  • Other ad-hoc activities derived from the KM&L program in the GEF, including those related to Information Technology. 

Apply