AI Research Scientist Salary.
Across 30 U.S. cities.
$200,000
national median salary
$150,000 to $260,000. Last updated April 2026.
Highest Paying
$276,000
San Jose, CA
Best Purchasing Power
$208,000
Washington DC, DC
Lowest Paying
$175,000
St. Louis, 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 AI Research Scientist 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 $276,000, while Washington DC offers the best purchasing power after cost-of-living adjustments. Publication record at top venues (NeurIPS, ICML, ICLR), novelty of research contributions, and ability to translate research into product impact are the primary factors.
AI Research Scientist salary by city
What you should know
Publication record at top venues (NeurIPS, ICML, ICLR), novelty of research contributions, and ability to translate research into product impact are the primary factors. Scientists with foundational contributions to active areas like alignment, scaling laws, or multimodal learning are exceptionally sought after. The scarcity of qualified researchers keeps competition for talent intense.
Research scientists (with PhD) start at $150,000 to $200,000, reaching senior scientist at $220,000 to $300,000 in three to five years. Staff research scientists earn $300,000 to $450,000. Distinguished scientists and research directors at leading labs can exceed $600,000 to $1,000,000+ in total compensation.
Equity at AI labs can represent 40 to 60% of total compensation, with grants of $100,000 to $300,000+ annually at top labs. Bonuses of 20 to 30% are common. Benefits include generous compute budgets, sabbatical programs, publication incentives, and funding for personal research agendas.