Machine Learning Engineer resume example & templates

A realistic Machine Learning Engineer resume shown in every design. Start from the example or use the design with your own resume.

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Machine Learning Engineer resume example

Summary

Machine learning engineer with 8 years of experience building and serving ranking and risk models in production. Shipped a credit decisioning model that cut loss rates by 18% at constant approval volume. Brings end-to-end ownership from feature pipelines to low-latency serving, plus rigorous offline and online evaluation.

Experience

Senior Machine Learning Engineer, Fairway Lending (Remote)

Jul 2022 – Present

  • Built a gradient-boosted credit risk model on 40M applications, reducing 90-day loss rates 18% at constant approval volume
  • Designed a Feast feature store serving 300 features at p99 under 25 ms for real-time decisions
  • Set up shadow deployments and champion-challenger tests, shortening model release cycles from 8 weeks to 2
  • Partnered with compliance to produce SHAP-based adverse action reasons meeting ECOA requirements

Machine Learning Engineer, Copperline Ads (New York, NY)

Sep 2019 – Jun 2022

  • Trained click-through prediction models in TensorFlow, lifting campaign revenue 7% across 2B daily impressions
  • Rebuilt the training pipeline on Spark and Airflow, cutting daily retraining from 9 hours to 2

Data Scientist, Copperline Ads (New York, NY)

Jul 2018 – Aug 2019

  • Analyzed bid landscape data to set floor prices, adding $1.1M in annual publisher revenue

Education

  • M.S. Data Science, Columbia University (Jan 2017 – May 2018)
  • B.S. Mathematics, Rutgers University (Sep 2012 – May 2016)

Skills

  • Modeling: XGBoost, LightGBM, PyTorch, TensorFlow, scikit-learn
  • Data and Features: Spark, Airflow, Feast, Snowflake, Kafka
  • Serving: FastAPI, Docker, Kubernetes, SageMaker, MLflow

How to write a Machine Learning Engineer resume

A strong Machine Learning Engineer resume shows the systems you built, the scale they run at, and the measurable effect on speed, reliability or cost. Put your most relevant recent role first and make every bullet show a result, not a duty.

Sections, in order

  1. Summary
  2. Experience
  3. Projects
  4. Skills
  5. 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

Example bullet points

Tips from recruiters

Recommended templates

Machine Learning Engineer resume FAQ

What should a Machine Learning Engineer resume include?

A Machine Learning Engineer 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, 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 Engineer?

Classic, Tech and Modern work well for Machine Learning Engineer roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.

How long should a Machine Learning Engineer resume be?

One page for most candidates; move to two only if every line is relevant.

Which skills should a Machine Learning Engineer put on a resume?

Prioritize the skills named in the job posting. Common ones for Machine Learning Engineer 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 Engineer 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."

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