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Skip to salary data
  1. Home/
  2. Salaries/
  3. ML Platform Engineer/
  4. Raleigh
Salaries

ML Platform Engineer.

Raleigh.

$136,000

median salary, 2% above the national average

$101,000 to $177,000. Last updated August 2026.

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Get the job.

Data points to own the conversation.

An ML Platform Engineer in Raleigh earns a median of $136,000 in 2026. That is 2% above the national average. The range runs from $101,000 to $177,000, and where you land depends on your experience, your skills, and how well you negotiate. Compensation for ML Platform Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. 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

$101,000

per year

Median

$136,000

per year

75th Percentile

$177,000

per year

Where do you fall?

$101,000$177,000

Orbyt estimate for ML Platform Engineer in Raleigh, 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 $132,770 for Software Developers (SOC 15-1252) in the Raleigh-Cary, NC metropolitan area, based on 12,580 employed workers (May 2025 release).

10th percentile

$80,080

25th percentile

$103,480

Median

$132,770

75th percentile

$166,650

90th percentile

$185,110

Workers surveyed

12,580

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 ML Platform Engineer specifically. The Raleighrange 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 $67,000 to the total package.

Base

$136,000

Equity

$41,000

Bonus

$18,000

Signing

$8,000

Estimated total: $203,000

How Raleigh compares.

Raleigh, NC

$136,000

Cost of living: 1% below average

National Average

$133,000

Raleigh is $3,000 above

ML Platform Engineer salary by city.

ML Platform Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Francisco, CA$187,000$139,000 to $244,0001.35x$139,000
San Jose, CA$185,000$138,000 to $243,0001.38x$134,000
Honolulu, HI$175,000$130,000 to $228,0001.30x$135,000
New York, NY$174,000$129,000 to $227,0001.28x$136,000
Seattle, WA$170,000$126,000 to $222,0001.24x$137,000
Newark, NJ$162,000$120,000 to $211,0001.18x$137,000
Washington DC, DC$161,000$120,000 to $211,0001.25x$129,000
Boston, MA$159,000$118,000 to $208,0001.22x$130,000
San Diego, CA$157,000$117,000 to $206,0001.17x$134,000
Raleigh, NC$136,000$101,000 to $177,0000.99x$137,000

See all 81 cities for ML Platform Engineer →

Salary by role in Raleigh.

Salary comparison by role in Raleigh
RoleMedianRange
CTO$291,000$227,000 to $378,000
General Counsel$283,000$220,000 to $368,000
CEO$275,000$200,000 to $380,000
Computer Vision Engineer$137,000$102,000 to $179,000
ML Platform Engineer$136,000$101,000 to $177,000
Data Engineer$136,000$108,000 to $169,000
LLMOps Engineer$136,000$101,000 to $177,000
AI Agent Engineer$136,000$101,000 to $177,000

What you should know.

The ML Platform Engineer landscape in Raleigh is not what most salary sites will tell you. Raleigh sits at the heart of the Research Triangle, one of America's premier tech and life sciences corridors. Cisco, Red Hat, Epic Games, and numerous biotech firms drive strong demand for engineering, research, and product roles. The combination of top tier universities and moderate living costs creates an exceptionally favorable salary to expense ratio. Compensation for ML Platform 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 ML Platform Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 67%+ variance across the compensation band.

ML Platform 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 Raleigh, 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 ML Platform Engineers runs roughly $223K 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: north Carolina's flat 4.5% income tax keeps the burden low. Raleigh has no city income tax, and the Triangle's affordable housing amplifies your take home purchasing power. 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: Cite Research Triangle talent competition in your negotiation. Employers here compete directly with each other and with remote offers, creating favorable leverage for candidates. The range for ML Platform Engineers in Raleigh runs from $101,000 to $177,000. 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

Interactive

Is your offer competitive?

Enter your ML Platform Engineer offer to see where you stand in Raleigh.

$

25th

$101,000

Median

$136,000

75th

$177,000

Considering a related role?

  • A Computer Vision Engineer in Raleigh earns $137,000 (1% more)
  • The highest-paying role in Raleigh is CTO at $291,000
  • See all ai operations roles tracked in Orbyt Intelligence

Common questions.

North Carolina's flat 4.5% income tax keeps the burden low. Raleigh has no city income tax, and the Triangle's affordable housing amplifies your take home purchasing power. 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.

ML Platform 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 Raleigh, each step up the ladder is amplified by the local cost of living multiplier, which means senior roles pay proportionally more than in lower cost markets.

Relevant certifications can add 5 to 15% to an ML Platform Engineer's base salary in Raleigh. Specifically, compensation for ml platform 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 $101,000 to $177,000, certifications often bridge the gap between the 50th and 75th percentile.

Hiring for ML Platform Engineers in Raleigh typically peaks in January through March and September through November. Companies finalize budgets in Q4 and open headcount in Q1. Raleigh's concentration of Technology and Biotech & Pharma employers creates steady year round demand. Time your search to align with budget cycles for maximum leverage.

Compensation for ML Platform 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 ML Platform Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 67%+ variance across the compensation band. In Raleigh, these factors can push compensation from the 25th percentile of $101,000 to the 75th percentile of $177,000 or beyond.

ML Platform Engineer salary in other cities.

Jackson$105,000
Kansas City$127,000
Los Angeles$152,000
Little Rock$105,000
Louisville$119,000
Las Vegas$123,000

Other salaries in Raleigh.

AI Engineer$133,000
AI Product Manager$165,000
AI Research Scientist$140,000
AI Safety Engineer$133,000

Related salary pages

Jump to nearby roles and cities most relevant to ML Platform Engineers in Raleigh.

  • AI EngineerRaleigh, NC$133,000
  • AI Product ManagerRaleigh, NC$165,000
  • ML Platform EngineerJackson, MS$105,000
  • ML Platform EngineerKansas City, MO$127,000
  • AI EngineerJackson, MS$103,000
  • AI Product ManagerKansas City, MO$155,000
  • ML Platform EngineerLos Angeles, CA$152,000
  • AI Research ScientistRaleigh, NC$140,000

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"ML Platform Engineer Salary in Raleigh, NC." Orbyt Salary Explorer, August 2026. https://www.orbytjobs.ai/salaries/ml-platform-engineer/raleigh

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