What is the median salary for Reinforcement Learning in San Francisco?

The median salary for Reinforcement Learning in San Francisco is USD 180,000 - USD 290,000 per year.

How does the Reinforcement Learning salary in San Francisco compare to the national average?

The national average salary for Reinforcement Learning in United States is USD 160,000 - USD 190,000, while in San Francisco it is USD 178,152 - USD 284,666.

Reinforcement Learning Salary in United States

Reinforcement Learning Salary in San Francisco

Based on 81 job listings - San Francisco, United States 2026

Average salary

$178,152 - $284,666

Median salary

$180,000 - $290,000

Lower rangeUpper range

Salary distribution by percentile

10th percentile$112K

25th percentile$132K

Median$180K

75th percentile$200K

90th percentile$238K

50% of professionals earn between $132,000 - $200,000 USD

The median salary is $180,000

Compare with national average

San Francisco

Average salary

178,152 - 284,666

Median salary

180,000 - 290,000

81 job openings

United States

Average salary

160,000 - 190,000

Median salary

160,000 - 190,000

658 job openings

Other cities

New York54 job openings

Sunnyvale46 job openings

San Jose32 job openings

Mountain View27 job openings

Palo Alto24 job openings

Seattle20 job openings

Reinforcement Learning

81 job openings in San Francisco

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Reinforcement Learning in San Francisco

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The average salary for a Reinforcement Learning in San Francisco, United States is USD 178,152 - USD 284,666 per year in 2026, based on 81 job listings.

Explore 81 Reinforcement Learning job listings in United States on BeBee, or check our salary calculator for a personalized estimate.