MLOps Engineer Salary in San Francisco

MLOps engineers typically earn 15 to 25% more than traditional DevOps engineers at similar experience levels. The premium reflects the specialized ML lifecycle knowledge required, including model versioning, experiment tracking, feature stores, and model monitoring. The combination of infrastructure and data science skills is rare and valuable.

Hands on experience with Kubernetes and at least one ML platform (MLflow, Kubeflow, or SageMaker) has the strongest salary impact. Cloud certifications (AWS ML Specialty, GCP ML Engineer) add 5 to 10%. Building automated retraining pipelines and model monitoring systems that prevent degradation demonstrates senior level capability.

MLOps Engineers in San Francisco earn between $162,000 and $284,000 in 2026. The median salary is $216,000. Compensation varies based on experience level, company size, specific skills, and whether the position includes equity, bonuses, or other benefits.

Start by understanding the market range: $162,000 to $284,000 for MLOps Engineers in San Francisco. Research the specific company, prepare data points about your experience, and consider total compensation including equity, bonuses, and benefits. Orbit's Salary Playbook provides personalized negotiation strategies based on your specific offer.

The median MLOps Engineer salary of $216,000 in San Francisco reflects the local cost of living and demand for talent. To see how this compares to the national average and other cities, use Orbit's salary explorer which provides side by side comparisons across markets.