ZipRecruiter

Log In

1

Machine Learning Intern Jobs in Springfield, VA (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 ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Springfield, VA

Machine Learning Intern information

See Springfield, VA salary details

$26.6K

$44.5K

$91.9K

How much do machine learning intern jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning intern in Springfield, VA is $44,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 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.

More about Machine Learning Intern jobs

What job categories do people searching Machine Learning Intern jobs in Springfield, VA look for?

The top searched job categories for Machine Learning Intern jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Machine Learning Intern jobs?

Cities near Springfield, VA with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $44,480 per year, or $21.4 per hour.

Artificial Intelligence and Machine Learning Specialist

Ascension Federal Services Inc.

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago

Job description

Job Description: Artificial Intelligence and Machine Learning SpecialistLocation: Washington DC, DC, 20001 (On-site)

We are seeking an experienced Artificial Intelligence and Machine Learning Specialist to join our team. The ideal candidate will have a strong background in computer science, mathematics, and statistics, as well as experience in developing and implementing AI and ML solutions.

Responsibilities:
  • Design and develop AI and ML models and algorithms
  • Implement and deploy AI and ML solutions
  • Collaborate with cross-functional teams to identify and solve business problems using AI and ML
  • Stay up-to-date with the latest AI and ML technologies and trends
  • Provide technical guidance and mentorship to junior team members
Requirements:
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field
  • Minimum of 5 years of experience in developing and implementing AI and ML solutions
  • Strong programming skills in Python, R, or other relevant languages
  • Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
Benefits:
  • Health, dental, and vision insurance
  • 401k
  • Flexible work environment - you manage your workday.

Apply