1

Artificial Intelligence Machine Learning Internship Jobs

next page

Showing results 1-20

Artificial Intelligence Machine Learning Internship information

See salary details

$25.5K

$42.6K

$88K

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

As of Jun 11, 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.
More about Artificial Intelligence Machine Learning Internship jobs
What cities are hiring for Artificial Intelligence Machine Learning Internship jobs? Cities with the most Artificial Intelligence Machine Learning Internship job openings:
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs? The most popular types of Artificial Intelligence Machine Learning jobs are:
What states have the most Artificial Intelligence Machine Learning Internship jobs? States with the most job openings for Artificial Intelligence Machine Learning Internship jobs include:
Infographic showing various Artificial Intelligence Machine Learning Internship job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence/Machine Learning Engineer

Everwatch

Annapolis Junction, MD

$47.60 - $108.18/hr

Other

Posted 29 days ago


Job description

Job TitleArtificial Intelligence/Machine Learning EngineerOverview

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 multistep workflows that are timesensitive, detailrich, and critical to national security. As an Artificial Intelligence/Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AIenabled capabilities.

You will design and implement solutions that may include LLMpowered workflows, agentbased automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decisionmaking in hightempo environments.

You'll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments.

Join us. The world can't wait.

Qualifications

You Have: 

  • Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
  • Experience designing or implementing LLMbased or agentic workflows, including multistep reasoning, tool integrations, and orchestration
  • Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
  • Experience with programming languages such as Python
  • TS/SCI clearance with a polygraph 
  • Bachelor's degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments or 6+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree

Nice If You Have: 

  • Experience engineering AI capabilities in onpremise or multiclassification environments
  • Experience with AWS or Azure, including work in restricted or classified environments
  • Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI
  • Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp
  • Experience with cyber or intelligence workflows, operational data types, or missionoriented analytical processes
  • Master's degree in AI, ML, Data Science, Cybersecurity, or Engineering

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 $47.60 to $108.18 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 LevelTS/SCI CIPJob LocationsUS-MD-Annapolis JunctionSkillsAI/ML, LLM, API, PythonMinMaxEmployment Type: OTHER