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Internship Machine Learning Government Jobs in Chicago, IL

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools ...

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Internship Machine Learning Government information

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$26.3K

$43.9K

$90.7K

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

As of Aug 19, 2026, the average yearly pay for internship machine learning government in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 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 are the most commonly searched types of Machine Learning Government jobs in Chicago, IL?

The most popular types of Machine Learning Government jobs in Chicago, IL are:

Generative AI Engineer III - State and Local Government

Deloitte

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Re-posted 3 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that focuses on transforming technology platforms and driving innovation for its clients. The AI and Data Science Engineer III role involves designing and deploying machine learning and AI solutions, maintaining data pipelines, and collaborating with various stakeholders to support AI-enabled products.
Responsibilities:
• Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
• Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
• Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
• Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
• Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
• 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
• 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
• 1+ years of technology consulting experience in the State Government or Local Government space
• Active certification in Python, PySpark, PyTorch, or TensorFlow
• Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
• Ability to obtain and maintain a US government security clearance
• 2+ years of experience deploying machine learning models into production environments
• 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
• 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
• 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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