TechnologyOfficial Payroll Survey · 99/1000–2 years

Entry Level Machine Learning Engineer Salary in San Francisco

2026 · Recent graduates and professionals with under 2 years of experience.

$191,549/yr

Typical range: $182,168 $224,000

P10–P25 · BLS OEWS employer payroll data

Machine Learning Engineer Salary Progression in San Francisco

From entry-level through staff — based on BLS OEWS percentile data

Experience LevelYearsPercentileAnnual SalaryMonthlyvs Entry
EntryThis page0 yrs0 yrs$191,549$15,962
Junior2 yrs2 yrs$236,620$19,718+24%
Mid-Level4 yrs4 yrs$266,667$22,222+39%
Senior6 yrs6 yrs$308,732$25,728+61%
Staff10 yrs10 yrs$416,901$34,742+118%
Principal14 yrs14 yrs$522,817$43,568+173%
Distinguished18 yrs18 yrs$549,296$45,775+187%
Current Salary
$191,549
Entry Level · 0–2 years
Hourly: $92/hr
Next Level Target
$236,620
Junior · 2
+$45Kpotential uplift
Career Opportunity
94/100
Exceptional
+45% demand · Low AI risk

Frequently Asked Questions

What is the entry level Machine Learning Engineer salary in San Francisco, CA?

Entry Level Machine Learning Engineers in San Francisco, CA earn approximately $192K per year (2026). This corresponds to the P10–P25 range of BLS OEWS employer payroll data.

How much does a entry level Machine Learning Engineer make per hour in San Francisco, CA?

Based on $192K annually, the hourly rate is approximately $92/hr (2,080-hour work year).

How do I get from entry level to senior Machine Learning Engineer in San Francisco, CA?

The typical progression takes 4–6 years with consistent skill development, project leadership, and strategic job moves. A senior Machine Learning Engineer in San Francisco, CA earns $354K–$436K/yr.