What is the cost of living adjusted Deep Learning Engineer salary in Houston?

Houston's COL multiplier is 0.97x. The median Deep Learning Engineer salary of $194,000 here equals about $200,000 in an average cost market.

When is the best time to job search as a Deep Learning Engineer in Houston?

Deep Learning Engineer hiring in Houston peaks in Q1 and early Q4. Timing your search around budget cycles maximizes negotiation leverage.

How much do Deep Learning Engineers make in Houston compared to the national average?

The national median Deep Learning Engineer salary is $200,000. In Houston, COL adjustments bring the median to $194,000.

What should I ask about benefits when interviewing for a Deep Learning Engineer in Houston?

Ask about equity, bonuses, 401(k), health insurance, PTO, and remote flexibility. Benefits in Houston can add $48,500+ to base salary.

Deep Learning Engineer.

Houston.

$194,000

median salary, 3% below the national average

$150,000 to $247,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what Deep Learning Engineers actually make in Houston: $150,000 at the 25th percentile, $194,000 at the median, and $247,000 at the 75th. That is 3% below the national average. Houston's economy is deeply rooted in energy, with a growing presence in healthcare, aerospace, and technology. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$150,000

per year

Median

$194,000

per year

75th Percentile

$247,000

per year

Tap to place your salary

$150,000$247,000

How Houston compares

Houston, TX

$194,000

Cost of living: 3% below average

National Average

$200,000

Houston is $6,000 below

What you should know

If you are interviewing for Deep Learning Engineer roles in Houston, here is what you are walking into. Houston's economy is deeply rooted in energy, with a growing presence in healthcare, aerospace, and technology. The Texas Medical Center is the world's largest, driving massive demand for clinical and research roles. Houston's low cost of living and no state income tax make it an attractive destination for professionals seeking strong purchasing power. 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 Houston, cost of living sits near the national average, so the numbers you see are roughly what you keep.

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: texas has no state income tax, giving Houston workers strong take home pay. The city's overall cost of living is below the national average, further stretching your salary. When someone quotes you $194,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize industry specialization in energy or healthcare. Houston employers pay significant premiums for domain expertise in these sectors over generalist candidates. The range for Deep Learning Engineers in Houston runs from $150,000 to $247,000. 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 Houston

Energy & Oil/GasHealthcareAerospace & NASAManufacturingTechnology

Negotiating in Houston

Emphasize industry specialization in energy or healthcare. Houston employers pay significant premiums for domain expertise in these sectors over generalist candidates.

Common questions.

Research labs like DeepMind and FAIR often pay 15 to 25% more in base salary and offer larger equity packages. However, product-focused roles at high-growth startups can yield higher total returns through equity appreciation.

Engineers skilled in multi-node training, CUDA optimization, and cost-efficient GPU cluster management earn 10 to 20% premiums. This operational expertise is scarce and directly reduces the largest cost center in AI development.

Houston's cost of living multiplier is 0.97x the national average. The adjusted median Deep Learning Engineer salary of $194,000 accounts for this. In practice, a Deep Learning Engineer earning $194,000 in Houston has roughly the same purchasing power as someone earning $200,000 in an average cost market.

Hiring for Deep Learning Engineers in Houston typically peaks in January through March and September through November. Companies finalize budgets in Q4 and open headcount in Q1. Houston's concentration of Energy & Oil/Gas and Healthcare employers creates steady year round demand. Time your search to align with budget cycles for maximum leverage.

The national median for a Deep Learning Engineer is $200,000. In Houston, cost of living adjustments push the median to $194,000. That discount reflects Houston's lower housing, transportation, and everyday costs.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Equity is a major component at AI-focused companies, often representing 30 to 50% of total compensation. In Houston's market, these extras can add $48,500 or more on top of the base salary.