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Machine Learning Engineer Data Science Intern Jobs

River Partners

Data Science Intern

San Diego, CA · On-site

$18 - $20/hr

Apply statistical models, machine learning algorithms, and data visualization techniques to ... Familiarity with data analysis tools and programming languages such as Python, R, SQL, etc.

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Machine Learning Engineer Data Science Intern information

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$25.5K

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$88K

How much do machine learning engineer data science intern jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning engineer data science intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What does a machine learning engineer data science intern do?

A Machine Learning Engineer Data Science Intern assists in developing and implementing machine learning models and data-driven solutions under the guidance of experienced professionals. The role typically involves data preprocessing, feature engineering, model training, and evaluation. Interns often collaborate with teams to solve real-world problems using statistical analysis and programming. They gain hands-on experience with popular tools and frameworks, such as Python, TensorFlow, and scikit-learn. This internship helps build foundational skills for a future career in machine learning and data science.

What kinds of projects does a machine learning engineer data science intern typically work on, and how are they supported by their team?

As a Machine Learning Engineer Data Science Intern, you will often be assigned to real-world projects such as building predictive models, cleaning and preprocessing data, and assisting with the deployment of machine learning solutions. You’ll collaborate closely with senior data scientists, software engineers, and sometimes product managers, receiving guidance during code reviews and regular team meetings. The environment is typically fast-paced and supportive, encouraging learning through mentorship and hands-on experience. Interns are expected to communicate their findings clearly and contribute to the team’s problem-solving efforts.

What are the key skills and qualifications needed to thrive as a machine learning engineer data science intern, and why are they important?

To thrive as a Machine Learning Engineer Data Science Intern, you need a strong background in mathematics, statistics, and programming (typically Python), supported by coursework or a degree in computer science, data science, or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Problem-solving skills, intellectual curiosity, and effective communication make a candidate stand out in collaborative and dynamic environments. These skills are vital for analyzing complex datasets, building reliable models, and clearly communicating insights that drive data-driven decision-making.

What cities are hiring for Machine Learning Engineer Data Science Intern jobs?

Cities with the most Machine Learning Engineer Data Science Intern job openings:

What states have the most Machine Learning Engineer Data Science Intern jobs?

States with the most job openings for Machine Learning Engineer Data Science Intern jobs include:

What are popular job titles related to Machine Learning Engineer Data Science Intern jobs?

For Machine Learning Engineer Data Science Intern jobs, the most frequently searched job titles are:

Machine Learning Engineer

Washington, DC • On-site

Phase2 Technology
Software Development • 51 - 200 employees
Learn more about Phase2 Technologyexternal

$77K - $176K/yr

Other

Re-posted 6 days ago

Job description

Job Number: R0241353

The Opportunity

As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer‑focused solution. We need your technical knowledge and desire to problem‑solve to support innovation across the DoD market. As a machine learning engineer on our defense technology team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll own and define the direction of mission‑critical solutions by implementing AI that enables faster mission success. You'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world‑class solutions to implement a wide variety of AI use cases.

Work with us to solve real‑world challenges and define AI strategy for national security.

Join us. The world can't wait.

Required Qualifications
  • 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models
  • Experience with Python coding and libraries, including scikit‑learn, TensorFlow, or PyTorch
  • Experience with developing code using a common programming language, including Python, C++, Rust, or Java
  • Experience with deep learning, computer vision, or generative AI
  • Experience with data handling and model development
  • Ability to solve client issues and problems
  • Secret clearance
  • Bachelor's degree
Preferred Qualifications
  • Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph
  • Experience with supervised and unsupervised learning
  • Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis
  • Ability to create software for retrieving, parsing, and processing structured and unstructured data
  • Master's degree
Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Salary: $77,600 – $176,000 annually, based on factors such as location, education, skills, and experience. This posting will close within 90 days from the posting date.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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