Deep Learning Engineer.
San Diego.
$232,000
median salary, 16% above the national average
$180,000 to $295,000. Last updated April 2026.
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Data points to own the conversation.
San Diego is 17% more expensive than the national average. For Deep Learning Engineers, that shakes out to a median of $232,000, with the full range spanning $180,000 to $295,000. Pay hinges on expertise with transformer architectures, large-scale training pipelines, and GPU optimization. Know the range before you walk in.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $209,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$151,000
to $186,000
Mid (3-5 yrs)
$197,000
to $244,000
Senior (6-9 yrs)
$255,000
to $302,000
Lead (10+ yrs)
$290,000
to $360,000
Salary trend
+8% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $117,000 to the total package.
Base
$232,000
Equity
$72,000
Bonus
$31,000
Signing
$14,000
Estimated total: $349,000
Deep Learning Engineer salary by company
Total compensation estimates include base, equity, bonus, and signing. Ranges reflect mid to senior level. Derived from public H-1B LCA filings, SEC proxy statements, and aggregated self-reported data.
How San Diego compares
San Diego, CA
$232,000
Cost of living: 17% above average
National Average
$200,000
San Diego is $32,000 above
Deep Learning Engineer salary by city
Salary by role in San Diego
What you should know
The Deep Learning Engineer landscape in San Diego is not what most salary sites will tell you. 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. Pay hinges on expertise with transformer architectures, large-scale training pipelines, and GPU optimization. Engineers who have shipped production models at scale earn top-band salaries. Publications at NeurIPS or ICML and familiarity with distributed training frameworks like DeepSpeed further boost compensation.
Junior deep learning roles start at $120,000 to $145,000. Mid-level engineers earn $155,000 to $200,000. Senior and staff-level positions reach $220,000 to $300,000 base, with principal engineers at top labs exceeding $400,000 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 is a major component at AI-focused companies, often representing 30 to 50% of total compensation. Annual bonuses range from 10 to 20% of base, with signing bonuses of $30,000 to $75,000 common for experienced hires. 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 $232,000, 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 Deep Learning Engineers in San Diego runs from $180,000 to $295,000. 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
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