Microsoft Learning San Francisco Salaries
20 verified profilesAverage Annual Total Compensation is $292k
Employees at Microsoft as Learning in San Francisco earn an average of $292k, mostly ranging from $210k to $686k based on 20 profiles.
Employee Count
massive
Equity Vest
3.5 yrs ; 29% , 29% , 29% , 13%
Signing Bonus
$25k - $50k
| 👩🏼💻 Asian | $239k Asian Average Salary : $ 239 k |
|---|
Machine Learning Engineer
(Principal SDE) Male | Base: $255k Stocks: $75k (Today) (17.4%) $62k Bonus: $49k TC:$378k (Today) (3.4%) $365k | 9yrs | NA | Masters | Works in San Francisco, CA | ||
Machine Learning Engineer
(SDE II) Male | Base: $168k Stocks: $24k (Today) (24.7%) $18k Bonus: $15k TC:$207k (Today) (2.9%) $201k | 5yrs | NA | Masters | Works in San Francisco, CA | ||
Machine Learning Engineer
(Senior SDE) | Base: $162k Stocks: $25k (Today) (24.1%) $19k Bonus: $15k TC:$201k (Today) (2.9%) $195k | 6yrs | NA | Bachelors | Works in San Francisco, CA | ||
Machine Learning Engineer
(SDE II) Male | Base: $157k Stocks: $41k Bonus: $15k TC:$212k | 4yrs | NA | Masters | Works in San Francisco, CA | ||
Machine Learning Engineer
(SDE II) Male | Base: $146k Stocks: $24k Bonus: - TC:$170k | 3yrs | NA | Masters | Works in San Francisco, CA | ||
|
| |||||||
Machine Learning Engineer
(SDE II) Male | Base: $142k Stocks: $127k Bonus: $28k TC:$298k | 2yrs | NA | Bachelors | Works in San Francisco, CA | ||
Machine Learning Engineer
(Principal SDE) | Base: $265k Stocks: $88k (Today) (18.8%) $72k Bonus: - TC:$353k (Today) (4.7%) $336k | 10yrs | NA | NA | Works in San Francisco, CA | ||
Base: $265k Stocks: $333k (Today) (22.1%) $260k Bonus: $118k TC:$715k (Today) (10.3%) $642k | 18yrs | NA | NA | Works in San Francisco, CA | |||
Machine Learning Engineer
(SDE II) | Base: $176k Stocks: $25k (Today) (24.1%) $19k Bonus: - TC:$201k (Today) (2.9%) $195k | 3yrs | NA | NA | Works in San Francisco, CA | ||
Machine Learning Engineer
(Principal SDE) | Base: $245k Stocks: $69k (Today) (24.5%) $52k Bonus: $49k TC:$363k (Today) (4.6%) $346k | 15yrs | NA | NA | Works in San Francisco, CA | ||
100% real time & verified!
Level
Experience
Avg
25th
50th
75th
90th
95th
Level
Level
Level
Level
Level
Level
Microsoft Learning San Francisco salary levels ranges from SDE II (Software Engineer) upto 66 (Software Engineer), with 66 (Software Engineer) level earning average salary of $715k along with $333k worth of stock options.
How much do Microsoft Learning San Francisco employees make?
Employees at Microsoft as Learning in San Francisco earn an average of $292k, mostly ranging from $210k per year to $686k per year based on 20 profiles. The top 10% of employees earn more than $418k per year.
What is the average salary of Microsoft Learning San Francisco?
Average salary of an employee at Microsoft as Learning in San Francisco is $292k.
What is the median salary offered at Microsoft as Learning in San Francisco?
The median salary approximately calculated from salary profiles measured so far is $227k per year.
How is the age distributed among employees at Microsoft as Learning in San Francisco?
Which are the top roles at this company?
How much do Microsoft Learning San Francisco employees make?
Employees at Microsoft as Learning in San Francisco earn an average of $292k, mostly ranging from $210k per year to $686k per year based on 20 profiles. The top 10% of employees earn more than $418k per year.
What is the average salary of Microsoft Learning San Francisco?
Average salary of an employee at Microsoft as Learning in San Francisco is $292k.
What is the median salary offered at Microsoft as Learning in San Francisco?
The median salary approximately calculated from salary profiles measured so far is $227k per year.
How is the age distributed among employees at Microsoft as Learning in San Francisco?
Which are the top roles at this company?
| 100-200 k | 100-200 k Percentage : 10 |
|---|---|
| 200-300 k | 200-300 k Percentage : 60 |
| 300-400 k | 300-400 k Percentage : 15 |
| 400-500 k | 400-500 k Percentage : 5 |
| > 500 k | > 500 k Percentage : 10 |
Browse by Titles
Software Engineer
Business Analyst
Product Manager
Engineering Manager
Program Manager
Data Scientist
Account Manager
UX Designer
DevOps Engineer
