Airbnb Software Engineer Machine Learning San Francisco Salaries
22 verified profilesAverage Annual Total Compensation is $572k
Employees at Airbnb as Software Engineer Machine Learning in San Francisco earn an average of $572k, mostly ranging from $383k to $1436k based on 22 profiles.
Employee Count
large
Equity Vest
4 yrs ; 25% , 25% , 25% , 25%
Signing Bonus
$10k - $30k
Similar Searches
Machine Learning Engineer
(G10) Male | Base: $247k Stocks: $262k (Today) (1.8%) $257k Bonus: $60k TC:$569k (Today) (0.8%) $565k | 15yrs | NA | Phd | Works in San Francisco, CA | ||
Base: $199k Stocks: $147k Bonus: $20k TC:$366k | 4yrs | NA | Bachelors | Works in San Francisco, CA | |||
Base: $173k Stocks: $196k Bonus: $29k TC:$398k | 5yrs | Master's in computer science | Works in SAN FRANCISCO, CA Lives in redwood city (94063) | ||||
Base: $137k Stocks: $196k Bonus: $29k TC:$362k | 5yrs | Master's in computational biology | Works in San Francisco, CALIFORNIA Lives in san francisco (94105) | ||||
Base: $118k Stocks: $196k Bonus: $29k TC:$343k | 5yrs | Master's in machine learning | Works in San Francisco, CALIFORNIA Lives in san francisco (94103) | ||||
Base: $119k Stocks: $196k Bonus: $29k TC:$344k | 5yrs | Master's in computer science | Works in SAN FRANCISCO, CALIFORNIA Lives in redwood city (94063) | ||||
Base: $119k Stocks: $196k Bonus: $29k TC:$344k | 5yrs | Master's in computer science | Works in SAN FRANCISCO, CALIFORNIA Lives in san mateo (94401) | ||||
Base: $245k Stocks: $294k (Today) (17.0%) $244k Bonus: - TC:$539k (Today) (9.3%) $489k | 11yrs | NA | NA | Works in San Francisco, CA | |||
Base: $252k Stocks: $291k (Today) (1.1%) $294k Bonus: $78k TC:$621k (Today) (0.5%) $625k | 10yrs | NA | NA | Works in San Francisco, CA | |||
Base: $225k Stocks: $490k (Today) (13.0%) $554k Bonus: - TC:$715k (Today) (8.9%) $779k | 12yrs | NA | NA | Works in San Francisco, CA |
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Level
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Avg
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50th
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Level
Level
Airbnb Software Engineer Machine Learning San Francisco salary levels ranges from G10 (Software Engineer) upto G12 (Software Engineer), with G12 (Software Engineer) level earning average salary of $1544k along with $1225k worth of stock options.
How much do Airbnb Software Engineer Machine Learning San Francisco employees make?
Employees at Airbnb as Software Engineer Machine Learning in San Francisco earn an average of $572k, mostly ranging from $383k per year to $1436k per year based on 22 profiles. The top 10% of employees earn more than $703k per year.
What is the average salary of Airbnb Software Engineer Machine Learning San Francisco?
Average salary of an employee at Airbnb as Software Engineer Machine Learning in San Francisco is $572k.
What is the highest salary offered at Airbnb as Software Engineer Machine Learning in San Francisco?
Highest reported salary offered at Airbnb as Software Engineer Machine Learning in San Francisco is $1544k. The top 10% of employees earn more than $703k per year. The top 1% earn more than a whopping $1436k per year.
What are the most common skills required at Airbnb as Software Engineer Machine Learning in San Francisco?
23% of employees have skills in c++ .
What are the highest paying jobs at Airbnb as Software Engineer Machine Learning in San Francisco?
The top 5 highest paying jobs at Airbnb as Software Engineer Machine Learning in San Francisco with reported salaries are:
software engineer - $572k per year
What is the median salary offered at Airbnb as Software Engineer Machine Learning in San Francisco?
The median salary approximately calculated from salary profiles measured so far is $537k per year.
How is the age distributed among employees at Airbnb as Software Engineer Machine Learning in San Francisco?
27% of employees lie between 26-31 yrs . 9% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have at Airbnb as Software Engineer Machine Learning in San Francisco?
36% hold a PostGraduate degree. 18% hold a PhD degree.
Which schools do employees working at Airbnb as Software Engineer Machine Learning in San Francisco went to?
14% of employees studied at Carnegie Mellon University . 9% studied at Duke University .
Which are the top roles at this company?
How much do Airbnb Software Engineer Machine Learning San Francisco employees make?
Employees at Airbnb as Software Engineer Machine Learning in San Francisco earn an average of $572k, mostly ranging from $383k per year to $1436k per year based on 22 profiles. The top 10% of employees earn more than $703k per year.
What is the average salary of Airbnb Software Engineer Machine Learning San Francisco?
Average salary of an employee at Airbnb as Software Engineer Machine Learning in San Francisco is $572k.
What is the highest salary offered at Airbnb as Software Engineer Machine Learning in San Francisco?
Highest reported salary offered at Airbnb as Software Engineer Machine Learning in San Francisco is $1544k. The top 10% of employees earn more than $703k per year. The top 1% earn more than a whopping $1436k per year.
What are the most common skills required at Airbnb as Software Engineer Machine Learning in San Francisco?
23% of employees have skills in c++ .
What are the highest paying jobs at Airbnb as Software Engineer Machine Learning in San Francisco?
The top 5 highest paying jobs at Airbnb as Software Engineer Machine Learning in San Francisco with reported salaries are:
software engineer - $572k per year
What is the median salary offered at Airbnb as Software Engineer Machine Learning in San Francisco?
The median salary approximately calculated from salary profiles measured so far is $537k per year.
How is the age distributed among employees at Airbnb as Software Engineer Machine Learning in San Francisco?
27% of employees lie between 26-31 yrs . 9% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have at Airbnb as Software Engineer Machine Learning in San Francisco?
36% hold a PostGraduate degree. 18% hold a PhD degree.
Which schools do employees working at Airbnb as Software Engineer Machine Learning in San Francisco went to?
14% of employees studied at Carnegie Mellon University . 9% studied at Duke University .
Which are the top roles at this company?
| 300-400 k | 300-400 k Percentage : 27 |
|---|---|
| > 500 k | > 500 k Percentage : 36 |
| 21-26 yrs | 21-26 yrs Percentage : 5 |
|---|---|
| 26-31 yrs | 26-31 yrs Percentage : 27 |
| 31-36 yrs | 31-36 yrs Percentage : 9 |
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