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Artificial Intelligence Machine Learning Internship information

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$25.5K

$42.6K

$88K

How much do artificial intelligence machine learning internship jobs pay per year?

As of Jul 23, 2026, the average yearly pay for artificial intelligence machine learning internship 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 Artificial Intelligence Machine Learning Intern, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Intern, you need foundational knowledge in computer science, statistics, and mathematics, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python, machine learning libraries such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns excel in collaborative, fast-paced environments. These skills and qualities are essential to contribute meaningfully to projects, learn quickly, and adapt to evolving technological challenges.

What types of projects can an Artificial Intelligence Machine Learning intern expect to work on during their internship?

As an AI/ML intern, you can expect to work on a variety of projects such as data preprocessing, model development, and performance evaluation. Interns often assist in building and testing machine learning models, analyzing large datasets, and contributing to the improvement of existing algorithms. You may also collaborate closely with data scientists, engineers, and product teams to solve real-world problems and help integrate AI solutions into business processes. These experiences provide valuable exposure to both research and practical applications in the field.

What is the difference between Artificial Intelligence Machine Learning Internship vs Data Science Internship?

AspectArtificial Intelligence Machine Learning InternshipData Science Internship
Required CredentialsBasic programming, math, and AI/ML knowledgeStatistics, programming, and data analysis skills
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Employer & Industry UsageAI/ML-focused roles in tech and researchData analysis and insights across industries
Search & Comparison IntentUnderstanding AI/ML internship roles and skillsExploring data science internship opportunities

Artificial Intelligence Machine Learning internships focus on developing AI and ML models, requiring programming and math skills. Data Science internships emphasize analyzing data to generate insights, often involving statistics and data visualization. While both roles involve data and programming, AI/ML internships are more specialized in building intelligent systems, whereas Data Science internships focus on interpreting data for decision-making.

What is an Artificial Intelligence Machine Learning Internship?

An Artificial Intelligence (AI) Machine Learning (ML) Internship is a temporary position designed for students or recent graduates to gain hands-on experience in AI and ML fields. Interns work on real-world projects involving data analysis, model development, and the application of machine learning algorithms under the guidance of experienced professionals. These internships help individuals develop practical skills, build a professional network, and improve their understanding of current technologies and tools used in AI and ML. Interns may also participate in research, code reviews, and present their findings. This experience is valuable for pursuing a career in data science, AI engineering, or related fields.
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Artificial Intelligence Machine Learning Internship jobs near you
Infographic showing various Artificial Intelligence Machine Learning Internship job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Artificial Intelligence/Machine Learning Engineer, Mid

Artificial Intelligence/Machine Learning Engineer, Mid

Everwatch

Annapolis Junction, MD • On-site

$64.90 - $93.75/hr

Other

Posted 24 days ago

Job description

Job Title
Artificial Intelligence/Machine Learning Engineer, Mid
Overview
EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.
EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.
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.
Responsibilities
Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.
You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.
You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.
Join us. The world can't wait.
Qualifications
You Have:
  • 5-10 years of experience building and deploying machine learning models in professional, research, or mission-oriented environments
  • Experience with integrating LLMs or AI APIs into applications, tools, or workflows
  • Experience in Python for AI/ML development and data processing
  • Knowledge of modern AI/ML development patterns including model integration, prompt engineering, and orchestration
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques
  • Ability to analyze complex problems and operate effectively in evolving technical environments
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mathematics, Statistics, or Master's degree with 3+ additional years of experience; or PhD with demonstrable applied AI/ML engineering experience

Nice If You Have:
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Experience with containerization and orchestration tools such as Docker or Kubernetes
  • Experience with data processing pipelines, distributed computing, and feature engineering at scale
  • Experience with natural language processing (NLP) techniques including text classification, topic modeling, or semantic search
  • Knowledge of agentic AI frameworks and autonomous workflow design patterns
  • Knowledge of MLOps practices including model lifecycle management, experiment tracking, and automated retraining
  • Additional programming language experience with Java, Scala, C++, or R

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.
Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $64.90 to $93.75 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.
Clearance Level
TS/SCI CIP
Job Locations
US-MD-Annapolis Junction
Skills
AI/ML, LLM, API, Python

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