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Machine Learning Intern Jobs (NOW HIRING)

dbi

Alterations Intern

Cincinnati, OH

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

dbi

Alterations Intern

Albuquerque, NM

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

dbi

Alterations Intern

Scottsdale, AZ

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

PlusAI

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Machine Learning & NLP: Solid understanding of Large Language Models (LLMs), natural language processing, and prompt engineering. * Python Programming: Strong proficiency in Python for machine ...

PlusAI

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Machine Learning & NLP: Solid understanding of Large Language Models (LLMs), natural language processing, and prompt engineering. * Python Programming: Strong proficiency in Python for machine ...

SentinelOne

AI/Machine Learning Engineer Intern

$31/hr

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering skills to create reliable, AI-powered products within a fast-paced product engineering environment.

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Machine Learning Intern information

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$25.5K

$42.6K

$88K

How much do machine learning intern jobs pay per year?

As of Jun 11, 2026, the average yearly pay for machine learning intern 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 a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What cities are hiring for Machine Learning Intern jobs? Cities with the most Machine Learning Intern job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
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What job categories do people searching Machine Learning Intern jobs look for? The top searched job categories for Machine Learning Intern jobs are:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 7% Full Time, and 91% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Radar Intern

Rainmaker Technology Corporation

Norman, OK • On-site

Other

Posted 7 days ago

Job description

Position: Summer Research Intern: Weather & Machine Learning

Duration: 10-12 weeks

Level: Undergraduate or Graduate

Overview: We are seeking a motivated student with coursework in meteorology and hands-on experience with machine learning to join our research team for the summer. The intern will contribute to a project focused on using machine learning to better understand and track microscale features within winter weather systems using radar data.

Responsibilities

  • Work with radar datasets to identify and organize cases of microscale features
  • Assist in preparing and processing data for use in machine learning models
  • Help evaluate and visualize model results using Python-based tools
  • Contribute to team meetings and discussions about storm behavior and model performance
  • Document progress and assist in preparing summaries of findings
Qualifications
  • Currently enrolled in an undergraduate or graduate program in meteorology, atmospheric science, or a related field
  • Basic familiarity with radar products through coursework or experience
  • Prior coursework or project experience in machine learning or data science
  • Proficiency in Python for data analysis

Preferred

  • Coursework or experience in radar meteorology
  • Experience with or understanding of cloud seeding atmospheric effects
  • Familiarity with deep learning frameworks such as PyTorch or TensorFlow
  • Experience with data analysis tools such as Py-ART, MetPy, xarray, or similar
  • Prior research experience of any kind (REU, class projects, lab work)

What You Will Gain

  • Hands-on experience applying machine learning to real operational radar data
  • Mentorship from researchers across meteorology and data science
  • A meaningful research contribution suitable for graduate school applications
  • Collaborative work environment bridging atmospheric science and modern data science methods
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