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$25.5K

$42.6K

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

As of Jun 3, 2026, the average yearly pay for internship 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, a solid understanding of programming (especially Python), statistics, linear algebra, and foundational machine learning concepts is essential, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, eagerness to learn, and effective communication skills help interns excel in collaborative and fast-paced environments. These skills enable interns to contribute meaningfully to projects, adapt to new challenges, and effectively communicate technical findings.

What types of projects do Machine Learning Interns typically work on, and how much autonomy can I expect?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, building and testing machine learning models, and collaborating on research or product development tasks. While you’ll usually work under the guidance of experienced engineers or researchers, many organizations encourage interns to take ownership of specific project components, propose solutions, and present findings. This balance between mentorship and autonomy helps interns gain practical experience while ensuring support is available when tackling challenging problems.

What are Machine Learning Interns?

Machine Learning Interns are students or early-career professionals who support teams in developing and implementing machine learning models and algorithms. They typically assist with data collection, cleaning, model training, and evaluation under the supervision of experienced engineers or scientists. These internships provide hands-on experience with real-world data science projects, often using programming languages like Python and tools such as TensorFlow or PyTorch. The goal is to help interns build practical skills and contribute to ongoing machine learning initiatives within an organization.

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

AspectInternship Machine Learning InternData Science Intern
Required SkillsBasic programming, machine learning concepts, Python, data analysisData analysis, statistics, programming, visualization
Work EnvironmentTech companies, research labs, startupsTech firms, consulting, finance, healthcare
Industry UsageMachine learning projects, model developmentData analysis, reporting, business insights

Both roles are internship positions in data-related fields, with Machine Learning Intern focusing on developing and applying machine learning models, while Data Science Intern emphasizes data analysis and insights. The roles often overlap but differ mainly in technical focus and project scope.

What cities are hiring for Internship Machine Learning Intern jobs? Cities with the most Internship Machine Learning Intern job openings:
What states have the most Internship Machine Learning Intern jobs? States with the most job openings for Internship Machine Learning Intern jobs include:
Internship Machine Learning Intern jobs near you
Machine Learning Intern/Co-op (Fall 2026)

Machine Learning Intern/Co-op (Fall 2026)

PathAI

Boston, NY • On-site, Remote

Internship

Posted 27 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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