The median starting salary is $167,600 a year, measured on the 20 postings that publish an annual salary range in US dollars. Measured September 2026. Compare with AI salaries by field.
Reinforcement learning jobs in Bellevue: 20 open roles (Sep 2026)
Live postings that name reinforcement learning in the job title or description, located in Bellevue, United States. Each one is rated AI Level 1–4 for how much AI is in the daily work.
- open roles
- 20
- AI Level 3+ (AI in the daily work)
- 19
- remote
- 1
- median starting salary
- $167,600
AI level of Reinforcement learning jobs in Bellevue
- AI Level 414 (70%)
- AI Level 35 (25%)
- AI Level 20 (0%)
- AI Level 11 (5%)
Companies hiring for Reinforcement learning in Bellevue
Reinforcement learning jobs in other cities
All jobs in other cities of United States
Roles that ask for it
Common questions
How much do Reinforcement learning jobs in Bellevue pay?
How much AI work do Reinforcement learning jobs in Bellevue involve?
Of the 20 live postings: AI Level 4: 14 (70%); AI Level 3: 5 (25%); AI Level 1: 1 (5%). See what each level means. Counted September 2026.
Which companies are hiring for Reinforcement learning jobs in Bellevue?
Which other cities have Reinforcement learning jobs?
Cities with their own list, by number of live postings: San Francisco (230), New York (139), Seattle (85), Santa Clara (67), Sunnyvale (46). Counted September 2026.
Which skills come up most in Reinforcement learning jobs in Bellevue?
Named in the title or description, with the number of postings that mention each: LLM (12), Machine learning (12), Python (9), Fine-tuning (8), C++ (5). Counted September 2026.
Which roles are open in Reinforcement learning jobs in Bellevue?
By number of live postings: Applied scientist (8), AI product manager (3), Machine learning engineer (3), Research scientist (2). Counted September 2026.
A posting counts when it names Reinforcement learning in its title or description. Counted September 2026 on live postings; the list refreshes every few hours. Levels follow our method.