Neural Architecture Search Engineer.
San Diego.
$199,000
median salary, 18% above the national average
$154,000 to $248,000. Last updated April 2026.
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Data points to own the conversation.
Here is what Neural Architecture Search Engineers actually make in San Diego: $154,000 at the 25th percentile, $199,000 at the median, and $248,000 at the 75th. That is 18% above the national average. San Diego's economy thrives on defense, biotech, and a growing tech startup scene. The number on your offer letter will depend on what you bring and how you ask.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $179,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$129,000
to $159,000
Mid (3-5 yrs)
$169,000
to $209,000
Senior (6-9 yrs)
$219,000
to $259,000
Lead (10+ yrs)
$249,000
to $308,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $56,000 to the total package.
Base
$199,000
Equity
$32,000
Bonus
$20,000
Signing
$4,000
Estimated total: $255,000
How San Diego compares
San Diego, CA
$199,000
Cost of living: 17% above average
National Average
$168,000
San Diego is $31,000 above
Neural Architecture Search Engineer salary by city
Salary by role in San Diego
What you should know
If you are interviewing for Neural Architecture Search Engineer roles in San Diego, here is what you are walking into. San Diego's economy thrives on defense, biotech, and a growing tech startup scene. The city's proximity to major military installations drives strong aerospace and cybersecurity demand. Biotech companies along the Torrey Pines corridor compete aggressively for scientific and engineering talent, pushing specialized salaries close to Bay Area levels. 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 Diego, those numbers run higher. The cost of living here is 17% 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 13.3% state tax applies here. While San Diego has no city income tax, the state burden means you should negotiate gross pay higher than you might expect for the cost of living. When someone quotes you $199,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage defense and biotech sector demand. Candidates with security clearances or specialized science backgrounds can command 15 to 20% premiums in San Diego. The range for Neural Architecture Search Engineers in San Diego runs from $154,000 to $248,000. 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 AI Site Reliability Engineer in San Diego earns $200,000 (1% more)
- The highest-paying role in San Diego is Distinguished Engineer at $390,000
Common questions.
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