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Machine Learning Summer Internship Jobs (NOW HIRING)

Jane Street

Machine Learning Engineer

Manhattan, NY · On-site

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

Jane Street

Machine Learning Engineer

New York, NY

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

GDIT

GDIT 2027 Summer AI / ML Internship

Falls Church, VA · Hybrid

$22.95 - $31.05/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

No GDIT Summer Internship Program - Summer 2026 Artificial Intelligence/Machine Learning Associate Internship Sponsorship is not available for this role. At GDIT, our people are our business. We ...

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Machine Learning Summer Internship information

See salary details

$25.5K

$42.6K

$88K

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

As of Aug 18, 2026, the average yearly pay for machine learning summer 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 is a machine learning summer internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning summer internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

What are the key skills and qualifications needed to thrive as a machine learning summer intern, and why are they important?

To thrive as a Machine Learning Summer Intern, you need a solid background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

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

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

More about Machine Learning Summer Internship jobs

What cities are hiring for Machine Learning Summer Internship jobs?

Cities with the most Machine Learning Summer Internship job openings:

What are the most commonly searched types of Machine Learning Summer jobs?

The most popular types of Machine Learning Summer jobs are:

What states have the most Machine Learning Summer Internship jobs?

States with the most job openings for Machine Learning Summer Internship jobs include:

What job categories do people searching Machine Learning Summer Internship jobs look for?

The top searched job categories for Machine Learning Summer Internship jobs are:

Machine Learning Summer Internship jobs near you
Infographic showing various Machine Learning Summer Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Summer Internship Program

Belfint, Lyons & Shuman, PA

Wilmington, DE • On-site

$14.50 - $19/hr

Temporary, Internship

Re-posted 10 days ago

Job description

Description:

Begin your career with our Summer Internship Program. Not only will you gain experience, work with clients, and network with the BLS family, but you will also be considered for a Staff Accountant Position. Many of the members of the BLS family started their career journey with a BLS Summer Internship and have advanced throughout the firm! You could be next!


What to Expect

  • Duration – 8-week/40-hour schedule combining formal learning with real world experiences
  • Hybrid experience, including a mix of safely being in-office and virtual
  • Acquire familiarity with firm processes while learning advanced accounting software programs.
  • Develop and apply learned skills through a variety of activities in all departments of the firm, not just one department. It’s the rotational development concept that makes us different from the others.
  • Engage and learn to perform work assignments as a first-year staff member and an active part of the BLS team.
  • Contribute to real client work, not an internship of scanning.
  • Network with accomplished professionals in the public accounting field.
  • Community service project
  • Professional development conference attendance
Requirements:

What We Look For

  • Working towards a Bachelors or Masters degree in accounting (preferred), accounting certificate, or another business related major
  • Striving towards the goal of working in Public Accounting and becoming a CPA

Apply