NLP Engineer · Resume example

NLP Engineer resume example

A complete sample NLP Engineer resume, four role-specific bullet points you can copy, the skills recruiters look for, and what to leave off. Free, no signup.

Alex Morgan

NLP Engineer

alex.morgan@email.com · linkedin.com/in/alexmorgan · github.com/alexmorgan · San Francisco, CA

Professional summary

NLP Engineer with 6+ years of experience shipping production systems in growth-stage and enterprise environments. Deep work across LLM fine-tuning, transformers, and evaluation. Track record of leading cross-functional projects to measurable outcomes and mentoring engineers into senior roles.

Experience

Senior NLP Engineer

2023 — Present

Acme Technologies · San Francisco, CA

  • Led LLM fine-tuning initiatives across 4 product squads, reducing time-to-ship by 32% over two quarters while keeping reliability above the 99.95% target.
  • Designed and shipped transformers-driven workflows that lifted weekly throughput from 12 to 19 features without adding headcount, partnering closely with evaluation stakeholders.
  • Owned LLM fine-tuning for a $4M revenue program, cutting incident MTTR from 47 to 12 minutes and earning the team's first quarterly excellence award.
  • Mentored 3 engineers into senior roles by pairing on embeddings, code reviews, and architecture deep-dives, raising team-wide code-review throughput by 40%.

NLP Engineer

2020 — 2023

Northwind Labs · Remote

  • Shipped a LLM fine-tuning-centered redesign of the onboarding flow that lifted day-7 retention by 18% across 80k weekly signups.
  • Partnered with product on a transformers initiative that cut p95 page-load latency from 2.4s to 0.9s, leaning heavily on evaluation for the harder calls.
  • Migrated 14 legacy services to a unified LLM fine-tuning pipeline; reduced operational overhead by ~25% and freed a full headcount for new product work using transformers.

Core skills

LLM fine-tuningtransformersevaluationembeddingsproduction deployment

Education

B.S. Computer Science · University of Washington · 2015

Skills to include

  • LLM fine-tuning
  • transformers
  • evaluation
  • embeddings
  • production deployment

Skills to leave off

  • Generic soft skills with no proof ("team player", "hard worker")
  • Tools you used once 5 years ago and can't speak to today
  • Buzzwords without context ("synergy", "thought leader", "ninja")

What recruiters look for in a NLP Engineer resume

  • Title-match in the first 6 seconds. The summary and most-recent job title should both read "NLP Engineer". Recruiters skim top-to-bottom and bail when titles don't line up.
  • Quantified bullets, every line. Every NLP Engineer bullet should carry a number: a percentage, a dollar figure, a count, or a duration. Bullets without numbers get read as "participated in" not "shipped".
  • Show depth, not just breadth. Two skills used deeply (LLM fine-tuning, transformers) beat ten skills listed shallowly. ATS scoring rewards depth signals.
  • Keep it to one page through 8 years, two pages after. NLP Engineer hiring managers want signal density. Filler hurts more than helps.

Build a polished NLP Engineer resume in 60 seconds

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