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Internship Machine Learning Government Jobs (NOW HIRING)

Jane Street

Machine Learning Researcher

New York, NY · On-site

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored ...

Instacart

OR

Overview We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

Desired Qualifications * 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with demonstrated ...

Pluralsight, LLC

Machine Learning Engineer

Draper, UT · On-site

$160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... Thousands of companies, government organizations and individuals around the world rely on ...

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Internship Machine Learning Government information

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$25.5K

$42.6K

$88K

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

As of Jul 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 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 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 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 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
Machine Learning Researcher

Machine Learning Researcher

Jane Street

New York, NY

Other

Posted 26 days ago

Job description

About the Position

Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models.

At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques.

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes.

Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.

About You

If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. We're more interested in how you think and learn than what you currently know. You should be:

  • An undergraduate, PhD student, or postdoc with practical experience working on ML problems
  • Interested in applying logical and mathematical thinking to all kinds of problems
  • Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains
  • Fluent with a versatile set of models and tricks 
  • Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework
  • Eager to ask questions, admit mistakes, and learn new things

If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here.

Apply