Compare AI, ML, and data science salaries by role, experience level, and location. Estimate total compensation including equity and bonus.
Compare to your current pay
Typical: 15-40% of base at top cos
Typical: 10-25% at big tech
ML Engineer • San Francisco / Bay Area
Base + $40,000 equity + $30,000 bonus
| Base Salary | $200,000 |
| Equity / RSUs | $40,000 |
| Annual Bonus | $30,000 |
| Total Compensation | $270,000 |
| Monthly Gross | $16,667 |
| Effective Hourly | $96 |
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Estimated Salary = Base Pay × Level Multiplier × Location Multiplier
Total Comp = Base + Equity + Bonus. Data sourced from Levels.fyi, Glassdoor, and LinkedIn Salary Insights (2024-2025).
AI Research Scientists at top labs (Google DeepMind, OpenAI, Anthropic) earn $250K-$500K+ in total compensation. Staff/Principal ML Engineers can earn similarly.
Not always. Many ML Engineer and MLOps roles prioritize practical experience over degrees. Research Scientist roles often require PhDs, but industry experience can substitute.
Prompt engineers earn $90K-$180K depending on experience and location. It's a newer role with rapidly evolving compensation bands.
Yes. AI salaries grew 15-25% year-over-year from 2023-2025. The talent shortage ensures continued upward pressure on compensation.
Calculations are for educational purposes only. Consult a qualified financial advisor for personalized advice.