As of November 10, 2026, the median starting salary is $147,050 a year, measured on the 7 postings that publish an annual salary range in US dollars. Compare with AI salaries by field.
Reinforcement learning jobs in Austin: 12 open roles
Updated Nov 10, 2026
Live postings that name reinforcement learning in the job title or description, located in Austin, United States. Each one is rated from Little AI to Builds AI for how much AI is in the daily work.
- open roles
- 12
- Build or work on AI (AI Level 3–4)
- 11
- remote
- 1
Median starting salary: $147,050.
AI level of Reinforcement learning jobs in Austin
- ●●●● Builds AI7 (58%)
- ●●●○ Works on AI4 (33%)
- ●●○○ Uses AI0 (0%)
- ●○○○ Little AI1 (8%)
Companies hiring for Reinforcement learning in Austin
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 Austin pay?
How much AI work do Reinforcement learning jobs in Austin involve?
As of November 10, 2026, of the 12 live postings: Builds AI ●●●●: 7 (58%); Works on AI ●●●○: 4 (33%); Little AI ●○○○: 1 (8%). See what each level means.
Which companies are hiring for Reinforcement learning jobs in Austin?
Which other cities have Reinforcement learning jobs?
As of November 10, 2026, cities with their own list, by number of live postings: San Francisco (248), New York (157), Seattle (82), Santa Clara (70), Mountain View (50).
Which skills come up most in Reinforcement learning jobs in Austin?
As of November 10, 2026, named in the title or description, with the number of postings that mention each: Python (8), Machine learning (6), AI agents (5), C++ (5), LLM (4).
Which roles are open in Reinforcement learning jobs in Austin?
As of November 10, 2026, by number of live postings: Software engineer (2), AI consultant (1), AI product manager (1), Applied scientist (1), Machine learning engineer (1).
A posting counts when it names Reinforcement learning in its title or description. Counted on live postings; the list refreshes every few hours. Levels follow our method.