Self-supervised Learning Salaries in San Francisco

Based on 3 jobs with salary data, the average salary for jobs requiring Self-supervised Learning in San Francisco ranges from $283.3k – $431.7k per year.

Self-supervised Learning roles in San Francisco pay 13% above the average of $250k – $383.8k for Self-supervised Learning positions listed on Inference Jobs.

Salary data is sourced from published job postings with explicit compensation ranges, normalized to annual USD equivalents. Statistical outliers are removed using interquartile range (IQR) filtering. Figures reflect advertised salary ranges and may not include bonuses, equity, or other compensation.