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Internship Machine Learning Jobs (NOW HIRING)

Ametek

Machine Learning Engineer

Herndon, VA · On-site

... internships, or real-world projects involving applied machine learning. #LI-WA1 #LI-HYBRID ... Compensation Employee Type: Salaried Currency: USD Salary Minimum: 130,000 Salary Maximum: 155,000 ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build ... Hands-on project or internship experience with real datasets * Exposure to cloud platforms (GCP or ...

Amazon

Machine Learning Compiler Engineer

Cupertino, CA · On-site

Amazon's Machine Learning accelerators are at the forefront of our innovation and one of several ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Intel

Machine Learning Engineer

Folsom, CA

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

Intel

Machine Learning Engineer

Hillsboro, OR

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

Intel

Machine Learning Engineer

Phoenix, AZ

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

Intel

Machine Learning Engineer

Santa Clara, CA

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

... internship, or thesis in each of the following: Java, Python, or Node.js; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); Machine learning, statistical analysis, and predictive modeling; Machine ...

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All JobsInternship Machine Learning Jobs

Internship Machine Learning information

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$25.5K

$42.6K

$88K

How much do internship machine learning jobs pay per year?

As of Jun 27, 2026, the average yearly pay for internship machine learning 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 the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning, and why are they important?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What are internship machine learning positions?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a Machine Learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
More about Internship Machine Learning jobs
What cities are hiring for Internship Machine Learning jobs? Cities with the most Internship Machine Learning job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Internship Machine Learning jobs? States with the most job openings for Internship Machine Learning jobs include:
What job categories do people searching Internship Machine Learning jobs look for? The top searched job categories for Internship Machine Learning jobs are:
Internship Machine Learning jobs near you
Infographic showing various Internship Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Intern/Co-op (Fall 2026)

Machine Learning Intern/Co-op (Fall 2026)

PathAI

Boston, NY • On-site, Remote

Internship

Posted 21 days ago

Job description

Who We Are
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.
Where You Fit
Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals.
You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes.
Timeline: This opportunity is for Fall 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).
Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations-however, we will also consider remote candidates (US based only).
What You'll Do
  • Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
  • Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
  • Partner with our MLOps and platform teams to help build and improve our ML pipelines.
  • Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.
What You Bring
  • Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.
  • Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).
  • A solid grasp of the fundamentals of machine learning and/or computer vision.
  • Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
  • A passion for our mission to improve patient outcomes.
  • [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.

We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for!
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

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