As of November 10, 2026, the median starting salary is $162,750 a year, measured on the 21 postings that publish an annual salary range in US dollars. Compare with AI salaries by field.
Fine-tuning jobs in San Jose: 34 open roles
Updated Nov 10, 2026
Live postings that name fine-tuning 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
- 34
- Build or work on AI (AI Level 3–4)
- 33
- remote
- 2
Median starting salary: $162,750.
AI level of Fine-tuning jobs in San Jose
- ●●●● Builds AI33 (97%)
- ●●●○ Works on AI0 (0%)
- ●●○○ Uses AI0 (0%)
- ●○○○ Little AI1 (3%)
Companies hiring for Fine-tuning in San Jose
Fine-tuning jobs in other cities
All jobs in other cities of United States
Roles that ask for it
Common questions
How much do Fine-tuning jobs in San Jose pay?
How much AI work do Fine-tuning jobs in San Jose involve?
As of November 10, 2026, of the 34 live postings: Builds AI ●●●●: 33 (97%); Little AI ●○○○: 1 (3%). See what each level means.
Which companies are hiring for Fine-tuning jobs in San Jose?
As of November 10, 2026, by number of live postings: Capital One (10), Etched (9), Cisco (4), SambaNova Systems (3), Hewlett Packard Enterprise (2).
Which other cities have Fine-tuning jobs?
As of November 10, 2026, cities with their own list, by number of live postings: San Francisco (200), New York (109), Seattle (62), Santa Clara (49), Mountain View (23).
Which skills come up most in Fine-tuning jobs in San Jose?
As of November 10, 2026, named in the title or description, with the number of postings that mention each: LLM (24), Machine learning (19), PyTorch (17), RAG (17), Reinforcement learning (15).
Which roles are open in Fine-tuning jobs in San Jose?
As of November 10, 2026, by number of live postings: Machine learning engineer (7), Software engineer (2), AI engineer (1), Cybersecurity (1), Data scientist (1).
A posting counts when it names Fine-tuning in its title or description. Counted on live postings; the list refreshes every few hours. Levels follow our method.