As of November 10, 2026, the median starting salary is $172,500 a year, measured on the 13 postings that publish an annual salary range in US dollars. Compare with AI salaries by field.
Deep learning jobs in San Jose: 25 open roles
Updated Nov 10, 2026
Live postings that name deep learning in the job title or description, located in San Jose, United States. Each one is rated from Little AI to Builds AI for how much AI is in the daily work.
- open roles
- 25
- Build or work on AI (AI Level 3–4)
- 23
- remote
- 3
Median starting salary: $172,500.
AI level of Deep learning jobs in San Jose
- ●●●● Builds AI23 (92%)
- ●●●○ Works on AI0 (0%)
- ●●○○ Uses AI0 (0%)
- ●○○○ Little AI2 (8%)
Companies hiring for Deep learning in San Jose
Deep learning jobs in other cities
All jobs in other cities of United States
Roles that ask for it
Common questions
How much do Deep learning jobs in San Jose pay?
How much AI work do Deep learning jobs in San Jose involve?
As of November 10, 2026, of the 25 live postings: Builds AI ●●●●: 23 (92%); Little AI ●○○○: 2 (8%). See what each level means.
Which companies are hiring for Deep learning jobs in San Jose?
As of November 10, 2026, by number of live postings: Capital One (10), Adobe (5), SambaNova Systems (3), WeRide (3), ASML (1).
Which other cities have Deep learning jobs?
As of November 10, 2026, cities with their own list, by number of live postings: Santa Clara (389), San Francisco (158), Seattle (124), New York (117), Mountain View (85).
Which skills come up most in Deep learning jobs in San Jose?
As of November 10, 2026, named in the title or description, with the number of postings that mention each: Machine learning (21), LLM (20), PyTorch (18), AWS (15), Fine-tuning (13).
Which roles are open in Deep learning jobs in San Jose?
As of November 10, 2026, by number of live postings: Machine learning engineer (5), Software engineer (3), AI engineer (1).
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.