The median starting salary is $198,200 a year, measured on the 119 postings that publish an annual salary range in US dollars. Measured September 2026. Compare with AI salaries by field.
LLM jobs in Mountain View: 119 open roles (Sep 2026)
Live postings that name LLM in the job title or description, located in Mountain View, United States. Each one is rated AI Level 1–4 for how much AI is in the daily work.
- open roles
- 119
- AI Level 3+ (AI in the daily work)
- 90
- remote
- 11
- median starting salary
- $198,200
AI level of LLM jobs in Mountain View
- AI Level 457 (48%)
- AI Level 333 (28%)
- AI Level 25 (4%)
- AI Level 124 (20%)
Companies hiring for LLM in Mountain View
LLM jobs in other cities
All jobs in other cities of United States
Roles that ask for it
Common questions
How much do LLM jobs in Mountain View pay?
How much AI work do LLM jobs in Mountain View involve?
Of the 119 live postings: AI Level 4: 57 (48%); AI Level 3: 33 (28%); AI Level 2: 5 (4%); AI Level 1: 24 (20%). See what each level means. Counted September 2026.
Which companies are hiring for LLM jobs in Mountain View?
By number of live postings: Glean Work (36), Waymo (34), Databricks (19), Nuro (11), Otter.ai (8). Counted September 2026.
Which other cities have LLM jobs?
Cities with their own list, by number of live postings: San Francisco (1,085), New York (684), Seattle (403), Santa Clara (244), San Jose (169). Counted September 2026.
Which skills come up most in LLM jobs in Mountain View?
Named in the title or description, with the number of postings that mention each: AI agents (64), Python (48), Machine learning (44), C++ (29), PyTorch (23). Counted September 2026.
Which roles are open in LLM jobs in Mountain View?
By number of live postings: Machine learning engineer (17), AI product manager (9), Research scientist (6), Solutions architect (3), AI engineer (2). Counted September 2026.
A posting counts when it names LLM in its title or description. Counted September 2026 on live postings; the list refreshes every few hours. Levels follow our method.