NLP engineer with 7 years of experience building text classification, extraction and search systems for legal and customer service documents. Launched a clause extraction model that reduced contract review time by 60% for 400 law firm users. Brings transformer fine-tuning, annotation program design and production-grade evaluation.
Experience
NLP Engineer, Lexrow Legal Technology (Chicago, IL)
Mar 2022 – Present
Fine-tuned DeBERTa models to extract 45 clause types from contracts at 0.91 F1, cutting attorney review time 60%
Built a hybrid BM25 and dense retrieval search over 12M documents, improving recall@10 from 0.62 to 0.84
Designed annotation guidelines and a Label Studio workflow with 6 paralegals, reaching 0.87 inter-annotator agreement
A strong NLP 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
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
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
NLP Engineer resume FAQ
What should a NLP Engineer resume include?
A NLP 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 NLP Engineer?
Classic, Tech and Modern work well for NLP Engineer roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a NLP Engineer resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a NLP Engineer put on a resume?
Prioritize the skills named in the job posting. Common ones for NLP 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 NLP 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."