VP of Machine Learning.
Burlington.
$300,000
median salary, 9% above the national average
$235,000 to $391,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
If you are evaluating a VP of Machine Learning offer in Burlington, VT, here is the reality: $235,000 to $391,000, with $300,000 as the midpoint. 9% above the national average. Compensation reflects specialization depth, production deployment scale, and the maturity of the AI systems being built. Do not accept the first number.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $270,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$195,000
to $240,000
Mid (3-5 yrs)
$255,000
to $315,000
Senior (6-9 yrs)
$330,000
to $390,000
Lead (10+ yrs)
$375,000
to $465,000
Salary trend
+4% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $191,000 to the total package.
Base
$300,000
Equity
$102,000
Bonus
$65,000
Signing
$24,000
Estimated total: $491,000
How Burlington compares
Burlington, VT
$300,000
Cost of living: 6% above average
National Average
$275,000
Burlington is $25,000 above
VP of Machine Learning salary by city
Salary by role in Burlington
What you should know
Here is what the VP of Machine Learning market actually looks like in Burlington. Burlington is Vermont's largest city and a small but growing hub for technology, healthcare, and sustainable industries. The University of Vermont drives education and research employment. The city attracts remote workers and small tech companies seeking New England quality of life at lower costs than Boston. Compensation reflects specialization depth, production deployment scale, and the maturity of the AI systems being built. VP of Machine Learnings who have shipped models serving millions of users command the highest premiums. Employer type matters significantly: AI labs and foundation model companies pay 20% to 40% more than enterprises adopting AI for internal use.
VP of Machine Learnings typically earn $215,000 to $358,000, with top performers at large organizations reaching $465,000. Lateral moves into adjacent executive functions or board advisory roles are common progression paths. C-suite advancement depends on demonstrated business impact and organizational scope. In Burlington, 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 at top-tier companies adds 30% to 60% above base salary. Annual bonuses of 15% to 25% are standard. Signing bonuses of $25,000 to $75,000 are common when changing roles. Refresher equity grants vest annually. Relocation packages and executive benefits like financial planning are typical. And on the tax side: vermont's top income tax rate is 8.75%, one of the highest in the nation. Burlington has no city income tax, but the state burden requires careful salary planning. When someone quotes you $300,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Negotiate remote work flexibility. Burlington's lifestyle appeal is a retention tool, but employers know they must offer competitive pay to offset Vermont's high tax rate. The range for VP of Machine Learnings in Burlington runs from $235,000 to $391,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Staff Deep Learning Engineer in Burlington earns $299,000 (0% more)
- The highest-paying role in Burlington is Principal AI Research Scientist at $371,000
Common questions.
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