AI Salary Trends Q2 2025: Key Findings
Quarterly analysis of AI compensation trends, highlighting the fastest-growing roles and emerging compensation patterns.
The second quarter of 2025 has brought notable shifts in AI compensation patterns. Our analysis of thousands of salary submissions reveals several important trends.
Key Findings
1. MLOps Engineers See Largest Salary Growth: MLOps engineers experienced a 22.3% year-over-year salary increase, the highest among all AI specializations. As organizations move from AI experimentation to production deployment, the demand for engineers who can build and maintain ML infrastructure has surged.
2. AI Safety Researchers Command Growing Premiums: Compensation for AI safety researchers increased by 18.7% year-over-year, driven by heightened regulatory attention and corporate investment in responsible AI development.
3. Geographic Convergence Continues: The salary gap between major tech hubs and secondary markets narrowed by approximately 3 percentage points in Q2 2025, as remote work enables companies to access talent in lower-cost regions.
4. Equity Compensation Grows in Importance: For senior AI engineers at startups and growth-stage companies, equity now represents 35-50% of total compensation, up from 25-35% two years ago. This reflects both the competitive pressure to attract talent and the potential for significant returns as AI companies achieve scale.
5. Entry-Level Salaries Plateau: After several years of rapid growth, entry-level AI engineer salaries have stabilized. The median starting salary has held steady at approximately $110,000 since late 2024, suggesting the market is finding equilibrium after the initial AI boom.
These trends suggest a maturing AI job market where specialization, production experience, and leadership skills are increasingly rewarded, while generalist roles face more competitive dynamics.