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Internship Machine Learning Government Jobs (NOW HIRING)

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

AV

Summer 2027 Machine Learning Intern

Centreville, VA · On-site

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

AV

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

AV

Summer 2027 Machine Learning Intern

Saint Paul, MN · On-site

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

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$25.5K

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

As of Sep 9, 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 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 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 are the key skills and qualifications needed to thrive in a machine learning internship in government?

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 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?

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Internship Machine Learning Government jobs near you

Machine Learning Engineer

Cleveland, OH • On-site

Flexjet
Aerospace Product and Parts Manufacturing • 501 - 1,000 employees
Learn more about Flexjetexternal

Full-time

Re-posted 4 days ago

Flexjet rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

22nd of 68 rated aviation services

Job description

POSITION SUMMARY
Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real-world ML systems.
DUTIES & RESPONSIBILITIES
  • Assist in developing and training machine learning models
  • Support the creation and maintenance of data pipelines
  • Help deploy ML models into production under guidance
  • Clean, preprocess, and analyze datasets for model training
  • Collaborate with team members to solve business problems using data
  • Monitor model performance and help troubleshoot issues
  • Document code, processes, and model behavior

REQUIRED SKILLS & QUALIFICATIONS
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)
  • Basic proficiency in Python
  • Familiarity with machine learning concepts (regression, classification, clustering)
  • Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)
  • Understanding of data structures and algorithms fundamentals
  • Basic knowledge of SQL and data handling

PREFERRED QUALIFICATIONS
  • Internship, academic project, or personal project experience in machine learning
  • Familiarity with Git and version control
  • Exposure to cloud platforms (AWS, Azure, or Google Cloud)
  • Basic understanding of APIs or web services
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn)
  • Strong willingness to learn and grow
  • Problem-solving mindset
  • Good communication and teamwork skills
  • Attention to detail

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