💰Salary Range Breakdown
10th Percentile
$164,700
Entry Level
50th Percentile
$219,600
Average
90th Percentile
$318,420
Top Earners
- Entry Level: $164,700
- Average: $219,600
- Top Earners: $318,420
39%
YoY Growth
79+
Open Jobs
69%
Remote %
High
Demand
Average Annual Salary
$219,600
Range: $164,700 — $318,420
79+
Open Jobs
39%
YoY Growth
69%
Remote Jobs
High
Demand
Detailed Mid-level Reinforcement Learning Engineer salary data for San Jose + negotiation scripts
🔒 No spam. Join 50,000+ professionals.
10th Percentile
$164,700
Entry Level
50th Percentile
$219,600
Average
90th Percentile
$318,420
Top Earners
39%
YoY Growth
79+
Open Jobs
69%
Remote %
High
Demand
💡 Top 3 skills are most in-demand based on job postings analysis.
San Jose offers Reinforcement Learning Engineer positions with a median salary of $219,600 in 2026. The city's growing tech ecosystem and strong demand for AI talent make it an attractive destination for Reinforcement Learning Engineer professionals. With major tech companies and startups actively hiring, San Jose provides excellent career opportunities and competitive compensation packages for AI and machine learning experts.
The Mid-level Reinforcement Learning Engineer role in San Jose offers competitive compensation, with salaries ranging from $164,700 for entry-level positions to $318,420 for experienced professionals. The median salary of $219,600 reflects the strong demand for this role in the San Jose job market.
Mid-level Reinforcement Learning Engineer salaries in San Jose have grown by 39% year-over-year, outpacing the national average. With 79+ open positions currently available and 69% offering remote work options, the job market remains highly favorable for qualified candidates.
To maximize your earning potential as a Mid-level Reinforcement Learning Engineer in San Jose, focus on developing these key skills: Python, PyTorch, RL Algorithms. Additional valuable skills include OpenAI Gym, Policy Gradient, Q-Learning. Employers particularly value candidates who can demonstrate practical experience with these technologies.
When evaluating Mid-level Reinforcement Learning Engineer salaries in San Jose, consider the local cost of living.San Jose has a cost of living index that may be higher or lower than the national average, which affects your real purchasing power. Use our salary calculator to see adjusted salaries for your target location.
Anthropic
Top EmployerUber
Top EmployerAirbnb
Stripe
💼 These companies are actively hiring and offer competitive compensation packages.
Increase your earning potential with these top-rated resources trusted by professionals in San Jose.
The average Mid-level Reinforcement Learning Engineer salary in San Jose is $219,600 per year. Entry-level positions start around $164,700, while experienced professionals can earn up to $318,420 or more with equity and bonuses.
Mid-level Reinforcement Learning Engineer salaries in San Jose are growing at 39% year-over-year, which is above the industry average. This growth reflects the high demand for qualified professionals in this field.
Yes! Currently 69% of Mid-level Reinforcement Learning Engineer positions in the San Jose area offer remote or hybrid work options. This percentage has increased significantly in recent years.
Top companies hiring include Anthropic, Uber, Airbnb, Stripe, and more. There are currently 79+ open positions in the area.
Key skills include Python, PyTorch, RL Algorithms, OpenAI Gym, Policy Gradient. Employers also value problem-solving abilities, communication skills, and relevant certifications.
🔒 No spam. Join 50,000+ professionals.
Compare similar roles and locations
Compare salaries across global tech hubs
Join 50,000+ professionals. Get salary trends, negotiation tips, and job market updates.
Get weekly market insights on AI salaries, hiring trends, and exclusive career tips directly to your inbox.