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Natural Language Processing (NLP) Engineer

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April 29, 2024 Updated June 11, 2025 20 minute read

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A Comprehensive Guide to Becoming a Natural Language Processing (NLP) Engineer

Natural Language Processing (NLP) engineering is a specialized field at the intersection of computer science, artificial intelligence, and linguistics. It focuses on enabling computers to understand, interpret, and generate human language in a way that is both meaningful and useful. NLP engineers design and build systems that can process text and speech, allowing for applications that range from virtual assistants and chatbots to sophisticated data analysis tools. This field is a critical component of modern AI, driving innovation and transforming how we interact with technology.

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Salaries for Natural Language Processing (NLP) Engineer

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$137,000

$178,000

$226,000

$178,000

San Francisco

$162,000

$193,000

$230,000

$193,000

Seattle

$120,000

$135,000

$158,000

$135,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$137,000

$178,000

$226,000

$178,000

San Francisco

$162,000

$193,000

$230,000

$193,000

Seattle

$120,000

$135,000

$158,000

$135,000

Austin

$129,000

$154,000

$189,000

$154,000

Toronto

$118,000

$139,000

$169,000

$139,000

London

£79,000

£95,000

£134,000

£95,000

Paris

€47,000

€56,000

€71,000

€56,000

Berlin

€78,000

€86,000

€99,000

€86,000

Tel Aviv

₪188,000

₪236,000

₪287,000

₪236,000

Beijing

¥446,000

¥640,000

¥894,000

¥640,000

Shanghai

¥432,000

¥600,000

¥796,000

¥600,000

Bengalaru

₹720,000

₹1,000,000

₹1,290,000

₹1,000,000

Delhi

₹1,000,000

₹1,490,000

₹2,250,000

₹1,490,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Natural Language Processing (NLP) Engineer

Take the first step.

We've curated seven courses to help you on your path to Natural Language Processing (NLP) Engineer. Use these to develop your skills, build background knowledge, and put what you learn to practice.

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