Neural Architecture Search Engineer.
San Francisco.
$231,000
median salary, 38% above the national average
$179,000 to $289,000. Last updated April 2026.
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Data points to own the conversation.
Neural Architecture Search Engineer pay in San Francisco ranges from $179,000 to $289,000 in 2026. The median is $231,000, 38% 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
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $208,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$150,000
to $185,000
Mid (3-5 yrs)
$196,000
to $243,000
Senior (6-9 yrs)
$254,000
to $300,000
Lead (10+ yrs)
$289,000
to $358,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $65,000 to the total package.
Base
$231,000
Equity
$37,000
Bonus
$23,000
Signing
$5,000
Estimated total: $296,000
How San Francisco compares
San Francisco, CA
$231,000
Cost of living: 35% above average
National Average
$168,000
San Francisco is $63,000 above
Neural Architecture Search Engineer salary by city
Salary by role in San Francisco
What you should know
If you are interviewing for Neural Architecture Search Engineer roles in San Francisco, here is what you are walking into. 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. Compensation reflects the deep expertise needed in both ML theory and systems optimization. Engineers who can design efficient search spaces, optimize for hardware-specific constraints, and produce architectures that outperform hand-designed networks command premiums. Publication record and demonstrated production impact are major salary levers.
Junior NAS engineers start at $115,000 to $135,000 running predefined search experiments. Mid-level engineers designing search strategies reach $155,000 to $185,000. Senior engineers defining architecture search paradigms earn $195,000 to $240,000. Research leads at top labs can exceed $300,000 in total compensation. 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. Equity at AI efficiency companies adds $30,000 to $90,000 annually. Compute budgets are among the largest for any ML role due to the search-intensive nature of the work. Bonuses of 12% to 18% are standard. 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 $231,000, 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 Neural Architecture Search Engineers in San Francisco runs from $179,000 to $289,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Feature Store Engineer in San Francisco earns $230,000 (0% more)
- The highest-paying role in San Francisco is Distinguished Engineer at $450,000
Common questions.
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