Multimodal AI Engineer Salary.
Across 30 U.S. cities.
$200,000
national median salary
$150,000 to $260,000. Last updated April 2026.
Highest Paying
$287,000
San Jose, CA
Best Purchasing Power
$208,000
San Jose, CA
Lowest Paying
$173,000
Detroit, MI
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 Multimodal AI Engineer salary in the United States is $200,000 in 2026, with the full range spanning $150,000 at the 25th percentile to $260,000 at the 75th. San Jose pays the most at $287,000, while San Jose offers the best purchasing power after cost-of-living adjustments. Salary variation is driven by experience integrating vision, language, and audio models into unified systems.
Multimodal AI Engineer salary by city
What you should know
Salary variation is driven by experience integrating vision, language, and audio models into unified systems. Engineers who have built production multimodal pipelines at scale are rare and highly valued. Expertise in cross-modal attention mechanisms and efficient inference across modalities commands top-tier compensation.
Entry-level multimodal roles begin around $120,000 to $140,000. Mid-career engineers earn $150,000 to $200,000. Senior engineers at leading AI labs reach $230,000 to $310,000 base, and distinguished engineers or research leads can surpass $450,000 total compensation.
Equity packages at frontier AI companies can match or exceed base salary. Signing bonuses of $50,000 to $100,000 are common for candidates with demonstrated multimodal research or deployment experience.