How Much Do MLOps Jobs Pay in San Francisco? (November 2026)
As of November 2026, the median MLOps salary in San Francisco is $237,750 a year. Most roles pay between $161,300 and $402,400 (the 10th–90th percentile), drawn from 42 live salaried listings across 29 companies. All figures are converted to annual US dollars so different sources compare like-for-like.
How pay has moved
Median base salary by month, from our monthly salary snapshots.
Highest-paying employers
- Machine Learning Infrastructure Engineer, Safeguards ResearchStaff+ Site Reliability Engineer, Safeguards ML InfraStaff+ Software Engineer, ML Inference PathStaff+ Software Engineer, ML Sampling PathAll Anthropic roles →
- Software Engineer, CI/CD & ML InfrastructureTraining: ML Framework EngineerSoftware Engineer, Monetization ML InfrastructureSoftware Engineer, Infrastructure - Analytics PlatformAll OpenAI roles →
- All Reducto roles →
- All Modal Labs roles →
- Staff Machine Learning Infrastructure EngineerSenior Software Engineer - Machine Learning InfrastructureAll ATOMS roles →
Employers ranked by median advertised base among those with at least two salaried listings in San Francisco; each one’s best-paying open roles are listed beneath it.
Methodology: MLOps listings in San Francisco with a published salary, updated daily. Figures come from roles that are open right now. Ranges and single figures are converted to an annual US-dollar midpoint; hourly rates are annualised and out-of-band values dropped. Salary data is self-reported by employers and covers the roles that disclose pay — treat it as a directional guide, not a guarantee.