How much do Machine Learning Researchers make in Austin compared to the national average?

The national median Machine Learning Researcher salary is $188,350. In Austin, COL adjustments bring the median to $194,000.

What is the demand outlook for Machine Learning Researchers in Austin?

Demand for Machine Learning Researchers in Austin remains strong. The compensation range of $144,000 to $255,000 reflects competitive hiring.

What is the hiring process like for Machine Learning Researchers in Austin?

Machine Learning Researcher hiring in Austin involves 3 to 5 rounds over 2 to 4 weeks. Prepare with company research and Orbyt's Interview Prep tool.

Machine Learning Researcher.

Austin.

$194,000

median salary, 3% above the national average

$144,000 to $255,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what Machine Learning Researchers actually make in Austin: $144,000 at the 25th percentile, $194,000 at the median, and $255,000 at the 75th. That is 3% above the national average. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$144,000

per year

Median

$194,000

per year

75th Percentile

$255,000

per year

Tap to place your salary

$144,000$255,000

How Austin compares

Austin, TX

$194,000

Cost of living: 3% above average

National Average

$188,000

Austin is $6,000 above

What you should know

Before you negotiate a Machine Learning Researcher offer in Austin, understand the terrain. 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. Publication record in top-tier venues like NeurIPS, ICML, and ICLR is the strongest salary differentiator. Researchers with first-author papers at these conferences command 15 to 25% premiums. Industry labs at major tech firms pay significantly more than academic positions or smaller startups.

Research interns start at $45,000 to $65,000 for summer positions. Junior researchers earn $140,000 to $170,000, while senior researchers reach $200,000 to $280,000. Principal researchers and research directors at major labs can exceed $400,000 in base salary alone. 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 at top labs often doubles base salary through equity grants and annual bonuses of 20 to 40%. Many positions include conference travel budgets, compute credits, and sabbatical programs for independent research. 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 $194,000, 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 Machine Learning Researchers in Austin runs from $144,000 to $255,000. 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 Austin

TechnologySemiconductorsClean EnergyHealthcareGovernment

Negotiating in Austin

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.

Common questions.

Industry ML researchers typically earn 50 to 100% more than academic counterparts at the same experience level. A tenure-track professor might earn $130,000 while an equivalent industry researcher earns $200,000 to $260,000 in base salary before equity.

Yes, researchers focused on large language models and generative AI currently command 10 to 20% premiums over other subfields. Foundation model expertise is especially valued, while more theoretical areas may pay slightly less in industry settings.

The national median for a Machine Learning Researcher is $188,350. In Austin, cost of living adjustments push the median to $194,000. That premium reflects Austin's higher housing, transportation, and everyday costs.

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. For Machine Learning Researchers specifically, publication record in top-tier venues like neurips, icml, and iclr is the strongest salary differentiator, which signals sustained demand. The current compensation range of $144,000 to $255,000 reflects a market that is competing for talent.

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.

Machine Learning Researcher hiring in Austin typically involves three to five rounds: a recruiter screen, a technical or skills assessment, one or two team interviews, and a final conversation with leadership. Companies in Austin's Technology sector may add domain specific evaluations. The process usually takes two to four weeks. Prepare by researching the company and practicing with Orbyt's Interview Prep tool.