Airbnb Machine Learning Engineer San Francisco Salaries
23 verified profilesAverage Annual Total Compensation is $556k
Employees at Airbnb as Machine Learning Engineer in San Francisco earn an average of $556k, mostly ranging from $366k to $1428k based on 23 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) (10.6%) $234k Bonus: $60k TC:$569k (Today) (4.9%) $542k | 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 sciences | Works in San Francisco, CALIFORNIA Lives in san carlos (94070) | ||||
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: $119k Stocks: $196k Bonus: $29k TC:$344k | 5yrs | Master's in computer science | Works in SAN FRANCISCO, CALIFORNIA Lives in redwood city (94063) | ||||
Base: $245k Stocks: $294k (Today) (24.4%) $222k Bonus: - TC:$539k (Today) (13.3%) $467k | 11yrs | NA | NA | Works in San Francisco, CA | |||
Base: $252k Stocks: $291k (Today) (7.9%) $268k Bonus: $78k TC:$621k (Today) (3.7%) $598k | 10yrs | NA | NA | Works in San Francisco, CA |
100% real time & verified!
Level
Experience
Avg
25th
50th
75th
90th
95th
Level
Level
Airbnb Machine Learning Engineer San Francisco salary levels ranges from G10 (Staff Software Engineer) upto G12 (Principal Software Engineer), with G12 (Principal Software Engineer) level earning average salary of $1544k along with $1225k worth of stock options.
How much do Airbnb Machine Learning Engineer San Francisco employees make?
Employees at Airbnb as Machine Learning Engineer in San Francisco earn an average of $556k, mostly ranging from $366k per year to $1428k per year based on 23 profiles. The top 10% of employees earn more than $700k per year.
What is the average salary of Airbnb Machine Learning Engineer San Francisco?
Average salary of an employee at Airbnb as Machine Learning Engineer in San Francisco is $556k.
What is the highest salary offered at Airbnb as Machine Learning Engineer in San Francisco?
Highest reported salary offered at Airbnb as Machine Learning Engineer in San Francisco is $1544k. The top 10% of employees earn more than $700k per year. The top 1% earn more than a whopping $1428k per year.
What are the most common skills required at Airbnb as Machine Learning Engineer in San Francisco?
22% of employees have skills in c++ .
What are the highest paying jobs at Airbnb as Machine Learning Engineer in San Francisco?
The top 5 highest paying jobs at Airbnb as Machine Learning Engineer in San Francisco with reported salaries are:
software engineer - $572k per year
What is the median salary offered at Airbnb as Machine Learning Engineer in San Francisco?
The median salary approximately calculated from salary profiles measured so far is $534k per year.
How is the age distributed among employees at Airbnb as Machine Learning Engineer in San Francisco?
30% 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 Machine Learning Engineer in San Francisco?
39% hold a PostGraduate degree. 17% hold a PhD degree.
Which schools do employees working at Airbnb as Machine Learning Engineer in San Francisco went to?
13% of employees studied at Carnegie Mellon University . 9% studied at Duke University .
Which are the top roles at this company?
How much do Airbnb Machine Learning Engineer San Francisco employees make?
Employees at Airbnb as Machine Learning Engineer in San Francisco earn an average of $556k, mostly ranging from $366k per year to $1428k per year based on 23 profiles. The top 10% of employees earn more than $700k per year.
What is the average salary of Airbnb Machine Learning Engineer San Francisco?
Average salary of an employee at Airbnb as Machine Learning Engineer in San Francisco is $556k.
What is the highest salary offered at Airbnb as Machine Learning Engineer in San Francisco?
Highest reported salary offered at Airbnb as Machine Learning Engineer in San Francisco is $1544k. The top 10% of employees earn more than $700k per year. The top 1% earn more than a whopping $1428k per year.
What are the most common skills required at Airbnb as Machine Learning Engineer in San Francisco?
22% of employees have skills in c++ .
What are the highest paying jobs at Airbnb as Machine Learning Engineer in San Francisco?
The top 5 highest paying jobs at Airbnb as Machine Learning Engineer in San Francisco with reported salaries are:
software engineer - $572k per year
What is the median salary offered at Airbnb as Machine Learning Engineer in San Francisco?
The median salary approximately calculated from salary profiles measured so far is $534k per year.
How is the age distributed among employees at Airbnb as Machine Learning Engineer in San Francisco?
30% 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 Machine Learning Engineer in San Francisco?
39% hold a PostGraduate degree. 17% hold a PhD degree.
Which schools do employees working at Airbnb as Machine Learning Engineer in San Francisco went to?
13% 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 : 30 |
|---|---|
| > 500 k | > 500 k Percentage : 35 |
| 21-26 yrs | 21-26 yrs Percentage : 4 |
|---|---|
| 26-31 yrs | 26-31 yrs Percentage : 30 |
| 31-36 yrs | 31-36 yrs Percentage : 9 |
Browse by Titles
Software Engineer
Business Analyst
Product Manager
Engineering Manager
Program Manager
Data Scientist
Account Manager
UX Designer
DevOps Engineer
