As of November 10, 2026, the median starting salary is $213,000 a year, measured on the 118 postings that publish an annual salary range in US dollars. Compare with AI salaries by field.
Deep learning jobs in San Francisco: 158 open roles
Updated Nov 10, 2026
Live postings that name deep learning in the job title or description, located in San Francisco, United States. Each one is rated from Little AI to Builds AI for how much AI is in the daily work.
- open roles
- 158
- Build or work on AI (AI Level 3–4)
- 145
- remote
- 47
Median starting salary: $213,000.
AI level of Deep learning jobs in San Francisco
- ●●●● Builds AI131 (83%)
- ●●●○ Works on AI14 (9%)
- ●●○○ Uses AI0 (0%)
- ●○○○ Little AI13 (8%)
Companies hiring for Deep learning in San Francisco
Deep learning jobs in other cities
Roles that ask for it
Common questions
How much do Deep learning jobs in San Francisco pay?
How much AI work do Deep learning jobs in San Francisco involve?
As of November 10, 2026, of the 158 live postings: Builds AI ●●●●: 131 (83%); Works on AI ●●●○: 14 (9%); Little AI ●○○○: 13 (8%). See what each level means.
Which companies are hiring for Deep learning jobs in San Francisco?
As of November 10, 2026, by number of live postings: Waymo (29), Amazon (19), Thinking Machines Lab (19), OpenAI (11), Anthropic (7).
Which other cities have Deep learning jobs?
As of November 10, 2026, cities with their own list, by number of live postings: Santa Clara (388), Seattle (124), New York (117), Mountain View (85), Sunnyvale (65).
Which skills come up most in Deep learning jobs in San Francisco?
As of November 10, 2026, named in the title or description, with the number of postings that mention each: Machine learning (133), Python (104), PyTorch (103), LLM (78), TensorFlow (51).
Which roles are open in Deep learning jobs in San Francisco?
As of November 10, 2026, by number of live postings: Machine learning engineer (36), Research scientist (9), AI engineer (8), Applied scientist (7), Software engineer (7).
A posting counts when it names Deep learning in its title or description. Counted on live postings; the list refreshes every few hours. Levels follow our method.