Should an ML resume list every library?

No. List the ones you can use and discuss. A short, honest skills section is more credible than a long one.

How do I write results if I can't share numbers?

Describe the comparison without the confidential figures: what you measured, against which baseline, and the direction and rough size of the change, as far as you are allowed to share it.

Can I copy this resume?

Use it as a structure. The people, companies and numbers are fictional, so write your own content, and only claim what is true.

Machine learning internship resume example

By the InternLaunch team · Updated 13 October 2026

In short

This resume is for a master's student applying to applied machine learning and data roles. It lists education most recent first, writes results with a baseline to compare against, shows how the candidate evaluates models, and keeps skills split between machine learning and engineering.

Avery Chen

avery.chen@example.com+1 (555) 010-0168Boston, MAlinkedin.com/in/example-averygithub.com/example-avery

Summary

M.S. student applying machine learning to messy real-world data. Strong on evaluation, experiment tracking and explaining results to non-specialists.

Education

Harborview Institute of Technology

Sep 2024 – May 2026

M.S. Computer Science, Machine Learning · GPA 3.9 / 4.0 · Boston, MA

Lakeside University

Sep 2020 – May 2024

B.S. Statistics

Experience

Data Science Intern

Jun 2025 – Aug 2025

Meridian Analytics · Boston, MA

Trained a gradient-boosted churn model that improved recall at fixed precision by 9 points over the baseline.
Set up experiment tracking and a reproducible evaluation harness used by the 4-person team.
Presented findings to product leadership and turned them into two roadmap items.

Projects

Paper-QA | Python, PyTorch, FastAPI

github.com/example-avery/paper-qa

Built a retrieval-augmented question answering tool over 2,000 research papers.
Wrote an evaluation set of 150 questions to compare retrieval strategies.

Skills

ML: PyTorch, scikit-learn, XGBoost, Hugging Face, MLflow

Engineering: Python, SQL, FastAPI, Docker, Git

An example. Every name, employer and number in it is made up.

Open it in the free studioEdit it, make it yours, download a PDF.

Why this resume works

Results are measured against a baseline: "Improved recall at fixed precision by 9 points over the baseline" tells a reader exactly what changed and compared to what. Without a baseline, a metric means little.
Evaluation is part of the story: A 150-question evaluation set to compare retrieval strategies shows the candidate tests ideas instead of guessing. Hiring managers for ML roles look for this.
Reproducibility is mentioned: Setting up experiment tracking and a reproducible evaluation harness for a four-person team shows engineering habits, not only modelling.
Education lists the most recent degree first: The master's comes first, with the field named, and the earlier degree follows in one line. A statistics undergraduate degree is relevant, so it stays.
Skills are split in two: One line for machine learning tools, one for engineering. It makes clear that the candidate can ship what they train.

How to adapt it

State the metric, the baseline and the change. If you can't share exact numbers, describe the comparison.
Say how you evaluated. A sentence on the test set or the experiment design is worth more than another library name.
Link a project with a clear README, a notebook that runs, and a short note on what didn't work.
Keep research and course projects distinct from industry work, and be precise about your own part in group work.

For the full advice, read how to write a software engineering resume for internships.

Frequently asked questions

Should an ML resume list every library?: No. List the ones you can use and discuss. A short, honest skills section is more credible than a long one.
How do I write results if I can't share numbers?: Describe the comparison without the confidential figures: what you measured, against which baseline, and the direction and rough size of the change, as far as you are allowed to share it.
Can I copy this resume?: Use it as a structure. The people, companies and numbers are fictional, so write your own content, and only claim what is true.