Data Pipeline Engineer (ML).
San Francisco.
$213,000
median salary, 35% above the national average
$162,000 to $281,000. Updated for 2026.
The numbers.
Everything you need to negotiate with confidence.
Data Pipeline Engineer (ML) pay in San Francisco ranges from $162,000 to $281,000 in 2026. The median is $213,000, 35% above the national average. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. Every dollar in that range is negotiable if you come prepared.
Salary range
Tap to place your salary
How San Francisco compares
San Francisco, CA
$213,000
Cost of living: 35% above average
National Average
$158,000
San Francisco is $55,000 above
What you should know
Before you negotiate a Data Pipeline Engineer (ML) offer in San Francisco, understand the terrain. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. Despite remote work trends, SF still commands the steepest salary premiums for engineering and product roles. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain. Engineers handling petabyte-scale training data pipelines for large model training earn 15 to 25% more than those working with smaller datasets. Experience with both batch and streaming architectures is a consistent salary booster across employers.
Junior ML pipeline engineers start at $120,000 to $142,000. Mid-level engineers managing production ML data flows earn $158,000 to $208,000. Senior engineers and infrastructure leads reach $215,000 to $280,000, while staff engineers designing organization-wide ML data platforms can command $290,000 to $370,000. In San Francisco, those numbers run higher. The cost of living here is 35% above average, and employers adjust to compete.
Base salary is not the full picture. Tech companies offer equity grants of 15 to 25% of base salary with standard four-year vesting schedules. Annual performance bonuses range from 10 to 18%. On-call compensation for production pipeline maintenance adds $8,000 to $18,000 annually at some organizations. And on the tax side: california's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When someone quotes you $213,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. The range for Data Pipeline Engineer (ML)s in San Francisco runs from $162,000 to $281,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Top industries in San Francisco
Negotiating in San Francisco
Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here.