NLP Engineer Salary.
Across 30 U.S. cities.
$180,000
national median salary
$135,000 to $235,000. Last updated April 2026.
Highest Paying
$253,000
San Jose, CA
Best Purchasing Power
$187,000
Miami, FL
Lowest Paying
$161,000
Kansas City, MO
Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026.
The average NLP Engineer salary in the United States is $180,000 in 2026, with the full range spanning $135,000 at the 25th percentile to $235,000 at the 75th. San Jose pays the most at $253,000, while Miami offers the best purchasing power after cost-of-living adjustments. Deep expertise in transformer architectures, experience with large language models, and production NLP system deployment skills are the strongest salary factors.
NLP Engineer salary by city
What you should know
Deep expertise in transformer architectures, experience with large language models, and production NLP system deployment skills are the strongest salary factors. Engineers who can build end to end NLP pipelines for information extraction, summarization, or conversational AI earn premiums. Multilingual NLP experience and knowledge of low resource language techniques further increase value.
Junior NLP engineers start at $120,000 to $150,000, reaching mid level at $160,000 to $205,000 in two to three years. Senior NLP engineers earn $205,000 to $270,000. Staff level NLP engineers and research leads at top labs can exceed $400,000 in total compensation including equity.
Equity at AI companies adds $30,000 to $140,000+ annually at senior levels. Bonuses of 15 to 25% are standard. Signing bonuses of $30,000 to $80,000 are typical at well funded companies. Benefits often include compute credits, publication support, and research collaboration time.