ML Engineer Salary Tracker

Understanding ML engineer compensation is critical for career planning, salary negotiations, and evaluating job opportunities. Our ML Engineer Salary Tracker provides data-driven estimates of total compensation (base salary + bonus + equity) based on location, experience level, and company size.

Machine Learning engineers are among the highest-paid roles in tech, with salaries varying significantly by geographic market. For example, ESTIMATE data from Levels.fyi and Bureau of Labor Statistics suggests the following ranges for 2023-2024:

• San Francisco Bay Area: $160,000 - $280,000 total compensation for mid-level engineers
• New York: $140,000 - $250,000
• Seattle: $150,000 - $260,000
• Boston: $135,000 - $240,000
• US National Average: $120,000 - $220,000

Experience level dramatically impacts earning potential. Entry-level engineers typically earn 20-40% less than mid-level peers, while staff/principal engineers at top companies can earn 2-3x the base salary through equity grants. Company size also plays a role, with FAANG companies often paying 30-50% more than startups for equivalent roles.

This tool allows you to customize inputs to reflect your specific situation. Adjust the location to account for cost-of-living differences, set your experience level, and select your company size to see how these factors influence compensation estimates. The calculator includes ESTIMATE values for bonuses (typically 10-20% of base) and equity (varies widely by company stage and role level).

Remember, these are ESTIMATES based on aggregated public data. Individual compensation packages may vary based on specific skills, company performance, market conditions, and negotiation outcomes.

How It Works

This ML Engineer Salary Tracker calculates estimated total compensation by combining three key components:

1. Base Salary Adjustments: Multiplies your input base salary by location, experience, and company size multipliers to reflect market variations.
2. Bonus Calculation: Adds a percentage of the adjusted base salary based on your bonus input (typically 10-20% for ML engineers).
3. Equity Value Estimation: Adds an equity value based on your multiplier input, representing the approximate annual value of equity grants (not guaranteed vested value).

The formula combines these elements to produce a total compensation estimate. You can modify any input to see how changes affect the output.

Methodology Note

This calculator provides ESTIMATES based on aggregated public salary data from the following sources:

• Glassdoor (2022-2023 salary reports)
• Payscale (job salary data and compensation surveys)
• Levels.fyi (crowdsourced total compensation data)
• Bureau of Labor Statistics (occupational employment statistics)
• LinkedIn Talent Insights (compensation benchmarks)

Multipliers for location, experience, and company size were derived from these sources, comparing median salaries across different segments. Equity values are particularly variable and represent approximate annual value based on typical vesting schedules (not guaranteed future value).

These estimates are intended for informational purposes only. Individual compensation packages may vary significantly based on specific company policies, market conditions, and negotiation outcomes. The calculator does not account for benefits, signing bonuses, or other compensation elements.

Frequently Asked Questions