Computer science master's student at the University of Michigan seeking a 2027 machine learning internship. Completed an ML internship fine-tuning document classifiers and published a workshop paper on efficient vision transformers. Comfortable with PyTorch, Hugging Face and experiment tracking, with coursework in deep learning and statistics.
Experience
Machine Learning Intern, Paperlane AI (Ann Arbor, MI)
May 2026 – Aug 2026
Fine-tuned a DeBERTa document classifier with Hugging Face, raising macro F1 from 0.81 to 0.89 on 40 invoice types
Built a labeling-error detector with confident learning that flagged 3,200 mislabeled training samples
Tracked 60 experiments in Weights & Biases and presented results to the ML team
Graduate Research Assistant, University of Michigan Vision Lab (Ann Arbor, MI)
Sep 2025 – Present
Co-authored a CVPR workshop paper on token pruning that cut ViT inference cost 34% with under 1% accuracy loss
Maintain the lab's PyTorch training scripts on a Slurm GPU cluster
Education
M.S. Computer Science and Engineering (Expected May 2027), GPA 3.9, University of Michigan (Aug 2025 – May 2027)
B.S. Computer Science, University of Minnesota (Sep 2021 – May 2025)
Skills
ML: PyTorch, Hugging Face Transformers, scikit-learn, Weights & Biases
Languages: Python, SQL, C++
Compute: Slurm, CUDA basics, Docker, Google Colab
How to write a Machine Learning Intern resume
A strong Machine Learning Intern resume shows the systems you built, the scale they run at, and the measurable effect on speed, reliability or cost. Put Education near the top and use projects, internships and coursework to show what you can already do.
Sections, in order
Summary
Education
Experience
Projects
Skills
Length: One page. Recruiters expect a single page for early-career candidates.
Summary: Keep the summary to two lines: the role you want, your strongest skills, and one result from a project or internship.
Skills to feature
Programming languages
System design
Cloud platforms (AWS, GCP, Azure)
CI/CD
Testing and code review
Databases and SQL
Observability
Security fundamentals
APIs and integrations
Technical documentation
Example bullet points
Rebuilt the checkout service in Go, cutting p95 latency from 900 ms to 180 ms for 2M monthly users
Introduced contract tests and staged rollouts, reducing production incidents by 45% in two quarters
Migrated 30 services to Kubernetes with Terraform, lowering cloud spend by $250k a year
Tips from recruiters
Group skills by category (for example "Languages: Go, TypeScript") so recruiters and ATS parsers find them quickly.
Link to a repository, demo or write-up for at least one project you can talk about in depth.
Name the stack inside each bullet; keyword matching happens at the bullet level, not only in the skills list.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Tech (ATS-friendly): Developer style: mono headings and tags, sans body
Modern (ATS-friendly): Clean single column with accent headings and rules
Machine Learning Intern resume FAQ
What should a Machine Learning Intern resume include?
A Machine Learning Intern resume should show the systems you built, the scale they run at, and the measurable effect on speed, reliability or cost. Use these sections in this order: Summary, Education, Experience, Projects and Skills. Put Education near the top and use projects, internships and coursework to show what you can already do.
What is the best resume template for a Machine Learning Intern?
Classic, Tech and Modern work well for Machine Learning Intern roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Machine Learning Intern resume be?
One page. Recruiters expect a single page for early-career candidates.
Which skills should a Machine Learning Intern put on a resume?
Prioritize the skills named in the job posting. Common ones for Machine Learning Intern roles are Programming languages, System design, Cloud platforms (AWS, GCP, Azure), CI/CD, Testing and code review and Databases and SQL.
How do I write strong Machine Learning Intern resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as latency, uptime and deploy frequency. For example: "Rebuilt the checkout service in Go, cutting p95 latency from 900 ms to 180 ms for 2M monthly users."