As of November 10, 2026, the median starting salary is $161,250 a year, measured on the 186 postings that publish an annual salary range in US dollars. Compare with AI salaries by field.
Machine learning jobs in Bellevue: 201 open roles
Updated Nov 10, 2026
Live postings that name machine learning in the job title or description, located in Bellevue, United States. Each one is rated from Little AI to Builds AI for how much AI is in the daily work.
- open roles
- 201
- Build or work on AI (AI Level 3–4)
- 105
- remote
- 27
Median starting salary: $161,250.
AI level of Machine learning jobs in Bellevue
- ●●●● Builds AI49 (24%)
- ●●●○ Works on AI56 (28%)
- ●●○○ Uses AI8 (4%)
- ●○○○ Little AI88 (44%)
Companies hiring for Machine learning in Bellevue
Machine learning jobs in other cities
All jobs in other cities of United States
Roles that ask for it
Common questions
How much do Machine learning jobs in Bellevue pay?
How much AI work do Machine learning jobs in Bellevue involve?
As of November 10, 2026, of the 201 live postings: Builds AI ●●●●: 49 (24%); Works on AI ●●●○: 56 (28%); Uses AI ●●○○: 8 (4%); Little AI ●○○○: 88 (44%). See what each level means.
Which companies are hiring for Machine learning jobs in Bellevue?
Which other cities have Machine learning jobs?
As of November 10, 2026, cities with their own list, by number of live postings: San Francisco (851), New York (701), Seattle (545), Santa Clara (248), Mountain View (174).
Which skills come up most in Machine learning jobs in Bellevue?
As of November 10, 2026, named in the title or description, with the number of postings that mention each: Python (77), AWS (58), Java (54), LLM (48), Generative AI (47).
Which roles are open in Machine learning jobs in Bellevue?
As of November 10, 2026, by number of live postings: Software engineer (33), Applied scientist (25), AI product manager (10), Data scientist (10), Cybersecurity (6).
A posting counts when it names Machine learning in its title or description. Counted on live postings; the list refreshes every few hours. Levels follow our method.