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Internship Machine Learning Government Jobs (NOW HIRING)

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Machine Learning Intern

Mountain View, CA · Hybrid

$40/hr

This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program ... of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Coupang

Machine Learning Intern

Mountain View, CA · On-site

$40 - $45/hr

What you will do In this internship, you will gain hands-on experience building large-scale machine learning models for Ads retrieval and ranking. Additionally, you will have the opportunity to ...

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How much do internship machine learning government jobs pay per year?

As of May 29, 2026, the average yearly pay for internship machine learning government 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 are the key skills and qualifications needed to thrive as an Internship Machine Learning Government, and why are they important?

To thrive as a Machine Learning Intern in a government setting, you typically need a strong background in statistics, programming (such as Python or R), and foundational knowledge of machine learning algorithms, often supported by ongoing or completed coursework in computer science or a related field. Familiarity with tools like TensorFlow, Scikit-learn, and data management systems, as well as experience with data security protocols, is commonly required. Strong analytical thinking, attention to detail, and clear communication skills help interns interpret complex data and present findings to non-technical stakeholders. These skills ensure that machine learning solutions are robust, ethical, and aligned with governmental objectives and regulations.

What types of projects do interns typically work on in a government machine learning internship?

In a government machine learning internship, interns often contribute to projects involving data analysis, predictive modeling, or automation of processes using machine learning algorithms. These projects may focus on areas such as public health, security, or resource management, depending on the agency's mission. Interns usually work within a multidisciplinary team, collaborating with data scientists, engineers, and policy experts, and may be tasked with tasks like cleaning datasets, developing prototypes, or assisting in report generation. This hands-on experience provides insight into how machine learning can address real-world challenges in the public sector.

What is an Internship in Machine Learning in the Government sector?

An Internship in Machine Learning within the government sector involves working with public agencies or departments to apply machine learning techniques to real-world problems. Interns may assist with analyzing public datasets, developing predictive models, or supporting decision-making processes using AI tools. These internships provide practical experience in deploying technology for public benefit, often focusing on areas like public health, security, or resource management. Interns gain exposure to both technical skills and the unique challenges of working within governmental frameworks.

What is the difference between Internship Machine Learning Government vs Internship Data Analysis Government?

AspectInternship Machine Learning GovernmentInternship Data Analysis Government
Required CredentialsRelevant coursework, basic programming skills, familiarity with ML frameworksStatistics knowledge, data handling skills, basic programming
Work EnvironmentResearch labs, government agencies, collaborative teamsData departments, policy units, government offices
Employer & Industry UsageFederal/state agencies, research institutionsGovernment departments, public sector organizations
Common Search & Comparison IntentUnderstanding ML internship roles in governmentExploring data analysis internship opportunities in government

Internship Machine Learning Government focuses on applying machine learning techniques within government projects, often requiring programming and ML knowledge. Internship Data Analysis Government emphasizes analyzing government data sets to support policy and decision-making, with a focus on statistics and data handling. Both internships are valuable for careers in public sector data roles but differ in technical focus and skill requirements.

What cities are hiring for Internship Machine Learning Government jobs? Cities with the most Internship Machine Learning Government job openings:
What are the most commonly searched types of Machine Learning Government jobs? The most popular types of Machine Learning Government jobs are:
What states have the most Internship Machine Learning Government jobs? States with the most job openings for Internship Machine Learning Government jobs include:
Internship Machine Learning Government jobs near you
AI/Machine Learning Internship

AI/Machine Learning Internship

Modern Technology Solutions, Inc.

Huntsville, AL • On-site

Internship

This job post has expired today. Applications are no longer accepted.

Job description

Modern Technology Solutions, Inc. is seeking a Artificial Intelligence / Machine Learning Intern (Data Science & Software Development) in Huntsville, AL for summer 2026.
We are seeking a motivated AI/ML Intern to support analytics and machine learning development for defense-related data challenges. In this role, you will build foundational skills in Python, data processing, and applied machine learning while working alongside experienced engineers and data scientists.
Responsibilities
• Develop and maintain Python scripts for data processing and analysis
• Assist in building, testing, and evaluating ML models
• Work with structured and unstructured datasets, including large or streaming data
• Help implement algorithms for classification, prediction, and pattern detection
• Support integration of AI/ML features into existing software systems and SaaS platforms
• Debug data or code issues and document workflows and findings
• Collaborate with the team to enhance tools, models, and processes
Required Qualifications
• 0-2 years of experience (coursework, internships, or personal projects welcome)
• Basic Python programming skills and understanding of programming fundamentals
• Introductory knowledge of machine learning concepts
• Exposure to at least one ML framework (PyTorch, TensorFlow, etc.)
• Familiarity with version control (Git)
• Ability to learn quickly and work well in a team
Preferred Qualifications
• Coursework or projects involving data analysis or ML
• Familiarity with common model types (e.g., decision trees, neural networks)
• Experience with data visualization libraries (Matplotlib, Seaborn)
• Exposure to large datasets, streaming data, or SaaS analytics platforms
• Interest in AI topics such as LLMs, RAG, or deep learning
• Jupyter notebooks, Linux command line, Docker basics, cloud platforms
Education
• Working toward or recently completed a degree in Computer Science, Data Science, Engineering, Mathematics, Physics or related field
• Equivalent practical experience considered
Clearance
  • Ability to obtain/maintain a US government security clearance. US Citizenship is required.

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