Defense ML Engineer.
Birmingham.
$138,000
median salary, 18% below the national average
$108,000 to $179,000. Last updated April 2026.
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Data points to own the conversation.
Here is what Defense ML Engineers actually make in Birmingham: $108,000 at the 25th percentile, $138,000 at the median, and $179,000 at the 75th. That is 18% below the national average. Birmingham is Alabama's largest metro, anchored by a major medical center, banking, and a growing innovation district. 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 $124,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$90,000
to $110,000
Mid (3-5 yrs)
$117,000
to $145,000
Senior (6-9 yrs)
$152,000
to $179,000
Lead (10+ yrs)
$173,000
to $214,000
Salary trend
+5% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $40,000 to the total package.
Base
$138,000
Equity
$23,000
Bonus
$14,000
Signing
$3,000
Estimated total: $178,000
How Birmingham compares
Birmingham, AL
$138,000
Cost of living: 16% below average
National Average
$168,000
Birmingham is $30,000 below
Defense ML Engineer salary by city
Salary by role in Birmingham
What you should know
Before you negotiate a Defense ML Engineer offer in Birmingham, understand the terrain. Birmingham is Alabama's largest metro, anchored by a major medical center, banking, and a growing innovation district. UAB is one of the state's largest employers and a driver of biomedical research jobs. The extremely low cost of living makes Birmingham a strong value for professionals in healthcare and finance. Compensation for Defense ML Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. Equity is a major component at roughly 25% of base — candidates should weight stock grants as heavily as salary when comparing offers. Within tech-sector Defense ML Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 66%+ variance across the compensation band.
Defense ML Engineers typically progress Junior → Mid → Senior → Staff → Principal over 8 to 12 years, with the Staff+ levels carrying significant technical scope and cross-team influence. The director/VP track diverges around year 8 for those who choose management; IC staff-plus roles keep building technical depth. In Birmingham, your dollars stretch further. Cost of living runs 16% below the national average, which means even a median salary buys a stronger lifestyle.
Base salary is not the full picture. Total compensation for Defense ML Engineers runs roughly $242K at median when factoring base + equity (25% of base annually) + bonus (15% of base). Equity is the single largest non-base component — candidates should model vesting schedules (typically 4-year with 1-year cliff) and compare grant values across offers carefully. At tech companies specifically, equity and sign-on are often the largest delta between offers — two roles with matching base can differ by $100K+ at total when equity is included. And on the tax side: alabama's top state income tax rate is 5%. Birmingham has no city income tax. The low rate combined with very affordable housing creates excellent take home pay ratios. When someone quotes you $138,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage UAB and the medical corridor when negotiating. Healthcare and biotech roles command nationally competitive salaries even in this low cost market. The range for Defense ML Engineers in Birmingham runs from $108,000 to $179,000. 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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