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Recommendation Systems Engineer.

Austin.

$136,000

median salary, 2% above the national average

$105,000 to $172,000. Last updated August 2026.

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Data points to own the conversation.

If you are evaluating a Recommendation Systems Engineer offer in Austin, TX, here is the reality: $105,000 to $172,000, with $136,000 as the midpoint. 2% above the national average. Compensation for Recommendation Systems Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. Do not accept the first number. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.

Salary range.

25th Percentile

$105,000

per year

Median

$136,000

per year

75th Percentile

$172,000

per year

Where do you fall?

$105,000$172,000

Orbyt estimate for Recommendation Systems Engineer in Austin, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.

Government benchmark for this occupation

The US Bureau of Labor Statistics reports a median annual wage of $134,120 for Software Developers (SOC 15-1252) in the Austin-Round Rock-San Marcos, TX metropolitan area, based on 31,960 employed workers (May 2025 release).

10th percentile

$96,110

25th percentile

$104,000

Median

$134,120

75th percentile

$168,730

90th percentile

$209,890

Workers surveyed

31,960

BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than Recommendation Systems Engineer specifically. The Austin range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.

View the BLS source for SOC 15-1252

Salary by experience.

The gap between entry and lead level is typically $123,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$88,000

to $109,000

Mid (3-5 yrs)

$116,000

to $143,000

Senior (6-9 yrs)

$150,000

to $177,000

Lead (10+ yrs)

$170,000

to $211,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $28,000 to the total package.

Base

$136,000

Equity

$15,000

Bonus

$10,000

Signing

$3,000

Estimated total: $164,000

How Austin compares.

Austin, TX

$136,000

Cost of living: 3% above average

National Average

$133,000

Austin is $3,000 above

Recommendation Systems Engineer salary by city.

Recommendation Systems Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$187,000$145,000 to $238,0001.38x$136,000
San Francisco, CA$183,000$142,000 to $233,0001.35x$136,000
Honolulu, HI$176,000$137,000 to $224,0001.30x$135,000
New York, NY$175,000$136,000 to $223,0001.28x$137,000
Washington DC, DC$173,000$134,000 to $220,0001.25x$138,000
Seattle, WA$168,000$130,000 to $214,0001.24x$135,000
Boston, MA$162,000$126,000 to $206,0001.22x$133,000
Los Angeles, CA$159,000$123,000 to $201,0001.18x$135,000
San Diego, CA$152,000$118,000 to $194,0001.17x$130,000
Austin, TX$136,000$105,000 to $172,0001.03x$132,000

See all 81 cities for Recommendation Systems Engineer →

Salary by role in Austin.

Salary comparison by role in Austin
RoleMedianRange
CTO$318,000$248,000 to $414,000
CEO$289,000$210,000 to $399,000
General Counsel$288,000$225,000 to $375,000
Recommendation Systems Engineer$136,000$105,000 to $172,000
Machine Learning Engineer$136,000$101,000 to $177,000
AI Agent Architect$136,000$101,000 to $177,000
Generative AI Engineer$136,000$101,000 to $177,000
Aerospace Engineer$136,000$106,000 to $176,000

What you should know.

Here is what the Recommendation Systems Engineer market actually looks like in Austin. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities. Compensation for Recommendation Systems Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. Base salary carries most of the total compensation, with bonuses adding roughly 10% in a typical year. Within tech-sector Recommendation Systems Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 66%+ variance across the compensation band.

Recommendation Systems 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 Austin, 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. Total compensation for Recommendation Systems Engineers runs roughly $176K at median when factoring base + typical bonus (~10% of base). Base salary carries most of the compensation; benefits (healthcare, 401(k) match, PTO) add an estimated 15–25% in imputed value on top. 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: texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When someone quotes you $136,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. The range for Recommendation Systems Engineers in Austin runs from $105,000 to $172,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology

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Enter your Recommendation Systems Engineer offer to see where you stand in Austin.

$

25th

$105,000

Median

$136,000

75th

$172,000

Considering a related role?

Common questions.

In 2026, the average Recommendation Systems Engineer salary in Austin, TX is $136,000. The estimated range runs from $105,000 to $172,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

In Austin, large enterprises typically pay Recommendation Systems Engineers 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Total compensation for Recommendation Systems Engineers runs roughly $176K at median when factoring base + typical bonus (~10% of base). The $105,000 to $172,000 range reflects this entire spectrum.

Total compensation for Recommendation Systems Engineers runs roughly $176K at median when factoring base + typical bonus (~10% of base). Base salary carries most of the compensation; benefits (healthcare, 401(k) match, PTO) add an estimated 15–25% in imputed value on top. 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. In Austin's market, the base range of $105,000 to $172,000 is just the starting point for negotiation.

Compensation for Recommendation Systems Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. Base salary carries most of the total compensation, with bonuses adding roughly 10% in a typical year. Within tech-sector Recommendation Systems Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 66%+ variance across the compensation band. In Austin, these factors can push compensation from $105,000 to $172,000 or beyond.

Texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When comparing offers across states, your take home pay matters more than the number on the offer letter. A lower salary in a no income tax state can net more than a higher one elsewhere.

Relevant certifications can add 5 to 15% to a Recommendation Systems Engineer's base salary in Austin. Specifically, compensation for recommendation systems engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. In a market where the range spans $105,000 to $172,000, certifications often bridge the gap between the median and the top of the range.

Recommendation Systems Engineer salary in other cities.

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"Recommendation Systems Engineer Salary in Austin, TX." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/recommendation-systems-engineer/austin

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