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ML Engineer.

Washington DC.

$173,000

median salary, 30% above the national average

$129,000 to $226,000. Last updated August 2026.

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Data points to own the conversation.

Washington DC is 25% more expensive than the national average. For ML Engineers, that shakes out to a median of $173,000, with the full range spanning $129,000 to $226,000. Model training expertise at scale, infrastructure optimization skills, and publication record in top venues are the strongest differentiators. Know the range before you walk in. 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

$129,000

per year

Median

$173,000

per year

75th Percentile

$226,000

per year

Where do you fall?

$129,000$226,000

Orbyt estimate for ML Engineer in Washington DC, 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 $154,930 for Software Developers (SOC 15-1252) in the Washington-Arlington-Alexandria, DC-VA-MD-WV metropolitan area, based on 69,060 employed workers (May 2025 release).

10th percentile

$96,450

25th percentile

$123,720

Median

$154,930

75th percentile

$176,230

90th percentile

$213,660

Workers surveyed

69,060

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 Engineer specifically. The Washington DC 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 $156,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$112,000

to $138,000

Mid (3-5 yrs)

$147,000

to $182,000

Senior (6-9 yrs)

$190,000

to $225,000

Lead (10+ yrs)

$216,000

to $268,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $74,000 to the total package.

Base

$173,000

Equity

$45,000

Bonus

$19,000

Signing

$10,000

Estimated total: $247,000

ML Engineer salary by company.

ML Engineer total compensation by company in Washington DC
CompanyTotal Comp Range
OpenAI$212,000 to $265,000
Anthropic$209,000 to $258,000
Google$202,000 to $241,000
Meta$199,000 to $234,000
Apple$194,000 to $221,000

Total compensation estimates include base, equity, bonus, and signing. Ranges reflect mid to senior level. Derived from public H-1B LCA filings (DOL).

How Washington DC compares.

Washington DC, DC

$173,000

Cost of living: 25% above average

National Average

$133,000

Washington DC is $40,000 above

ML Engineer salary by city.

ML Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Francisco, CA$183,000$136,000 to $240,0001.35x$136,000
San Jose, CA$176,000$131,000 to $231,0001.38x$128,000
Washington DC, DC$173,000$129,000 to $226,0001.25x$138,000
Honolulu, HI$166,000$124,000 to $217,0001.30x$128,000
New York, NY$165,000$123,000 to $216,0001.28x$129,000
Los Angeles, CA$163,000$121,000 to $214,0001.18x$138,000
Newark, NJ$162,000$120,000 to $211,0001.18x$137,000
Seattle, WA$160,000$119,000 to $209,0001.24x$129,000
Boston, MA$159,000$118,000 to $208,0001.22x$130,000
San Diego, CA$154,000$115,000 to $202,0001.17x$132,000

See all 81 cities for ML Engineer →

Salary by role in Washington DC.

Salary comparison by role in Washington DC
RoleMedianRange
CTO$379,000$295,000 to $492,000
General Counsel$357,000$278,000 to $464,000
CFO$338,000$254,000 to $449,000
ML Engineer$173,000$129,000 to $226,000
AI Platform Engineer$173,000$129,000 to $226,000
Federated Learning Engineer$173,000$129,000 to $226,000
Data Engineer$173,000$138,000 to $215,000
AI Data Engineer$173,000$133,000 to $223,000

What you should know.

Here is what the ML Engineer market actually looks like in Washington DC. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Cybersecurity, cloud computing, and consulting firms drive demand for cleared professionals. The region's stability, combined with high government pay scales, creates a salary floor that pulls private sector compensation upward. Model training expertise at scale, infrastructure optimization skills, and publication record in top venues are the strongest differentiators. ML engineers who can reduce training costs by 50% or improve model latency by an order of magnitude are exceptionally valuable. Specialization in transformer architectures, reinforcement learning, or generative models commands the highest premiums.

Entry level ML engineers (with MS/PhD) start at $130,000 to $165,000, reaching mid level at $170,000 to $220,000 in two to three years. Senior ML engineers earn $220,000 to $300,000. Staff and principal level engineers at leading AI labs can exceed $500,000 in total compensation. In Washington DC, those numbers run higher. The cost of living here is 25% above average, and employers adjust to compete.

Base salary is not the full picture. Equity at AI labs and top tech companies often doubles total compensation, with RSU grants of $50,000 to $200,000+ annually at senior levels. Bonuses of 15 to 25% are standard. Signing bonuses of $40,000 to $100,000 are common. Compute budgets for personal research projects are a growing perk. And on the tax side: dC income tax rates reach 10.75% for high earners. Maryland and Virginia residents working in DC face their own state taxes. Choose your residence jurisdiction carefully to optimize net pay. When someone quotes you $173,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: A security clearance is your strongest negotiation asset. Cleared professionals in DC command 20 to 30% premiums, and transferring your clearance to a new employer saves them significant time and cost. The range for ML Engineers in Washington DC runs from $129,000 to $226,000. 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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$

25th

$129,000

Median

$173,000

75th

$226,000

Considering a related role?

Common questions.

A PhD typically adds $20,000 to $40,000 in starting salary for ML engineering roles and opens doors to research focused positions. The premium is strongest at AI labs where original research is core to the business. At application focused companies, the gap narrows after two to three years of industry experience.

ML engineers at dedicated AI labs (Anthropic, OpenAI, DeepMind) earn 25 to 40% more in total compensation than peers at traditional tech companies. This reflects the specialized skill requirements and the intense competition among a small number of labs for a limited pool of qualified researchers and engineers.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Equity at AI labs and top tech companies often doubles total compensation, with RSU grants of $50,000 to $200,000+ annually at senior levels. In Washington DC's market, these extras can add $43,250 or more on top of the base salary.

Model training expertise at scale, infrastructure optimization skills, and publication record in top venues are the strongest differentiators. ML engineers who can reduce training costs by 50% or improve model latency by an order of magnitude are exceptionally valuable. Specialization in transformer architectures, reinforcement learning, or generative models commands the highest premiums. In Washington DC, these factors can push compensation from $129,000 to $226,000 or beyond.

Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Cybersecurity, cloud computing, and consulting firms drive demand for cleared professionals. For ML Engineers specifically, the median salary of $173,000 reflects that demand.

Remote work has compressed geographic salary premiums for ML Engineers. Some Washington DC employers offer location adjusted pay, while others maintain local rates to attract in office talent. In a high cost market like Washington DC, remote roles may pay 10 to 20% less than local positions. The $129,000 to $226,000 range reflects both arrangements.

Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Cybersecurity, cloud computing, and consulting firms drive demand for cleared professionals. For ML Engineers specifically, model training expertise at scale, infrastructure optimization skills, and publication record in top venues are the strongest differentiators, which signals sustained demand. The current compensation range of $129,000 to $226,000 reflects a market that is competing for talent.

ML Engineer salary in other cities.

Other salaries in Washington DC.

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Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"ML Engineer Salary in Washington DC, DC." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/ml-engineer/washington-dc

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