Senior machine learning engineer with 9 years of experience building ranking, recommendation and forecasting systems in production. Led a two-tower retrieval and ranking rebuild that grew marketplace revenue 6.5% on $900M GMV. Owns models from feature pipelines to online serving and mentors engineers on ML system design.
Experience
Senior Machine Learning Engineer, Hearthmarket (San Francisco, CA)
Jan 2022 – Present
Led a two-tower retrieval and gradient-boosted ranking rebuild that grew marketplace revenue 6.5% on $900M GMV
Built a Feast feature store serving 300 features at 15 ms p99 to online models
Cut model serving costs 42% by distilling a PyTorch ranker and serving it with Triton on GPUs
Mentor 4 ML engineers and run the team's experiment review and model launch checklist
How to write a Senior Machine Learning Engineer resume
A strong Senior Machine Learning Engineer resume shows the systems you built, the scale they run at, and the measurable effect on speed, reliability or cost. Lead with scope and impact: the size of the systems, budgets or teams you influenced, and the decisions you owned.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page is ideal; two pages are fine with 10+ years of relevant experience.
Summary: Open with your specialty and years of experience, then one or two signature results.
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
Senior Machine Learning Engineer resume FAQ
What should a Senior Machine Learning Engineer resume include?
A Senior 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. Lead with scope and impact: the size of the systems, budgets or teams you influenced, and the decisions you owned.
What is the best resume template for a Senior Machine Learning Engineer?
Classic, Tech and Modern work well for Senior Machine Learning Engineer roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Senior Machine Learning Engineer resume be?
One page is ideal; two pages are fine with 10+ years of relevant experience.
Which skills should a Senior Machine Learning Engineer put on a resume?
Prioritize the skills named in the job posting. Common ones for Senior 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 Senior 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."