The median starting salary is $171,600 a year, measured on the 353 postings that publish an annual salary range in US dollars. Measured September 2026. Compare with AI salaries by field.
Deep learning jobs in Santa Clara: 367 open roles (Sep 2026)
Live postings that name deep learning in the job title or description, located in Santa Clara, United States. Each one is rated AI Level 1–4 for how much AI is in the daily work.
- open roles
- 367
- AI Level 3+ (AI in the daily work)
- 192
- remote
- 6
- median starting salary
- $171,600
$184k-$288kUS, CA, Santa Clara2w
linuxc
$152k-$242kUS, CA, Santa Clara3w
ccuda
$116k-$190kUS, CA, Santa Clara3w
socembedded-systems
$20-$71/hrUS, CA, Santa Clara1w
pythonperltcl+4
$152k-$242kUS, CA, Santa Clara2mo
gitperforceqnx
$213k-$288kUS, CA, Santa Clara1mo
sagemaker
AI level of Deep learning jobs in Santa Clara
- AI Level 4135 (37%)
- AI Level 357 (16%)
- AI Level 27 (2%)
- AI Level 1168 (46%)
Companies hiring for Deep learning in Santa Clara
Deep learning jobs in other cities
Roles that ask for it
Common questions
How much do Deep learning jobs in Santa Clara pay?
How much AI work do Deep learning jobs in Santa Clara involve?
Of the 367 live postings: AI Level 4: 135 (37%); AI Level 3: 57 (16%); AI Level 2: 7 (2%); AI Level 1: 168 (46%). See what each level means. Counted September 2026.
Which companies are hiring for Deep learning jobs in Santa Clara?
Which other cities have Deep learning jobs?
Cities with their own list, by number of live postings: San Francisco (167), Seattle (134), New York (96), Mountain View (75), Sunnyvale (40). Counted September 2026.
Which skills come up most in Deep learning jobs in Santa Clara?
Which roles are open in Deep learning jobs in Santa Clara?
By number of live postings: Solutions architect (19), Research scientist (10), AI product manager (8), Applied scientist (6), Machine learning engineer (4). Counted September 2026.
A posting counts when it names Deep learning in its title or description. Counted September 2026 on live postings; the list refreshes every few hours. Levels follow our method.