Machine learning scientist with 6 years of experience in computer vision and generative models for medical imaging and retail. Developed a lesion-detection model cleared through FDA 510(k) with 94% sensitivity. Strong in model architecture research, rigorous validation and collaborating with engineers to bring models into regulated products.
Compressed models with quantization and pruning for edge devices, cutting inference latency 3x
Graduate Research Assistant, Georgia Tech Machine Learning Center (Atlanta, GA)
Jan 2019 – May 2020
Researched semi-supervised segmentation for retinal images, co-authoring a MICCAI workshop paper
Education
M.S. in Computer Science (Machine Learning), Georgia Institute of Technology (Aug 2018 – May 2020)
B.S. in Electrical Engineering, Rutgers University (Sep 2014 – May 2018)
Skills
Deep Learning: PyTorch, MONAI, CNNs, vision transformers, diffusion models
Methods: active learning, uncertainty estimation, model compression
Tooling: Python, Weights & Biases, Docker, AWS
How to write a Machine Learning Scientist resume
A strong Machine Learning Scientist resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Put your most relevant recent role first and make every bullet show a result, not a duty.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page for most candidates; move to two only if every line is relevant.
Summary: Write two or three lines: your role, your strongest skills, and one result that proves them.
Skills to feature
SQL
Python or R
Statistics
Machine learning
Data modeling
dbt and ELT pipelines
BI tools (Looker, Tableau, Power BI)
Experiment design
Data visualization
Stakeholder communication
Example bullet points
Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year
Rebuilt the revenue dashboard on dbt and Looker, cutting refresh time from 6 hours to 20 minutes
Designed 25 A/B tests with sequential analysis, shortening the average test from 4 weeks to 10 days
Tips from recruiters
Pair every technique with the decision it informed; "built a model" alone says little.
List tools under grouped skills ("Analytics: SQL, dbt, Looker") so ATS keyword matches are exact.
Link a notebook, Kaggle profile or public analysis if you have one.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Modern (ATS-friendly): Clean single column with accent headings and rules
Compact (ATS-friendly): Dense single column that fits long histories
Machine Learning Scientist resume FAQ
What should a Machine Learning Scientist resume include?
A Machine Learning Scientist resume should show the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Put your most relevant recent role first and make every bullet show a result, not a duty.
What is the best resume template for a Machine Learning Scientist?
Classic, Modern and Compact work well for Machine Learning Scientist roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Machine Learning Scientist resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Machine Learning Scientist put on a resume?
Prioritize the skills named in the job posting. Common ones for Machine Learning Scientist roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Machine Learning Scientist resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as forecast accuracy, revenue impact and query time. For example: "Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year."