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NLP Engineer

An NLP Engineer builds systems that understand and generate human language. They work on tasks like classification, extraction, search, translation, and summarization, using both classic techniques and modern language models. The role combines linguistics, machine learning, and software engineering to turn messy text into structured, useful signals and features at scale.

Responsibilities

Build NLP systems for extraction, classification, and search
Fine-tune or apply language models to language tasks
Develop text pipelines and preprocessing
Evaluate models on language-specific metrics
Deploy and scale NLP services
Collaborate with product on language features

Must-have skills

Strong NLP and machine learning fundamentals
Python and frameworks such as Hugging Face or spaCy
Experience with embeddings and transformers
Text data processing and evaluation
Software engineering and deployment skills

Nice-to-have skills

Information retrieval and semantic search
Multilingual NLP
Speech or dialogue systems
Fine-tuning large language models

Average Salary

Typical US base salary for an HR Generalist by experience level.

Junior

0–2 yrs experience

$110,000 – $140,000
US annual salary (USD)

Intermediate

0–2 yrs experience

$140,000 – $180,000

US annual salary (USD)

Senior

0–2 yrs experience

$180,000 – $235,000

US annual salary (USD)

Figures are annual US market estimates for orientation, not offers. Actual pay varies by location, company stage, and equity.

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Frequently asked questions

What is NLP engineering?
It is building software that processes human language, from search and classification to summarization and translation, using machine learning and language models.
Has generative AI replaced traditional NLP?
No. LLMs handle many tasks well, but classic NLP techniques remain useful for efficiency, control, and specialized problems. Strong engineers use both.
What libraries do NLP Engineers use?
Common tools include Hugging Face Transformers, spaCy, and PyTorch, along with vector search and standard data tooling.
Is a linguistics degree required?
No, though linguistic knowledge helps. Most NLP engineers come from computer science or machine learning backgrounds.

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