Search salaries Machine Learning Engineer · Vietnam Change
Country · VND · 2026Machine Learning Engineer Salary in Vietnam
Your earning potential as a Machine Learning Engineer in Vietnam
In Vietnam, pay for this role varies with experience, company and the responsibilities you take on.
Estimated mid-level pay centres around VND 14.8K a year — about VND 1,237 a month before tax.
The benchmark spans VND 7.7K at entry level to VND 48.2K at executive level annually. Compare the experience breakdown below with roles similar to yours.
Market outlook: Growing (estimate). There is limited evidence to explain the outlook for this role in this location. Local outlook evidence is limited; this estimate is a guide to potential demand, rather than a prediction of hiring or pay growth. Your next step will also depend on the skills and responsibilities required by the roles you pursue.
Mid-level equivalent: ≈ $14,844/year ($1,237/month) at 1 VND/USD.
2026 estimates · Modelled benchmark; direct salary observations are limited.
Salary by experience level
| Level | Experience | P25 | Median | P75 | P10 – P90 |
|---|---|---|---|---|---|
| entry | 0–2 yrs | VND 7.7K |
VND 9.6K
≈ $9,649
|
VND 11.2K | VND 6.2K – VND 13.4K |
| mid | 3–5 yrs | VND 11.9K |
VND 14.8K
≈ $14,844
|
VND 17.2K | VND 9.5K – VND 20.6K |
| senior | 6–9 yrs | VND 19.6K |
VND 24.5K
≈ $24,493
|
VND 28.4K | VND 15.7K – VND 34K |
| executive | 10–15 yrs | VND 33.3K |
VND 41.6K
≈ $41,564
|
VND 48.2K | VND 26.7K – VND 57.7K |
Five-year salary trend
What moves this number
What lands in your account
| Level | Gross | Tax | Effective | Net annual | Net monthly |
|---|---|---|---|---|---|
| entry | VND 9.6K | VND 482 | 5.0% | VND 9.2K | VND 764 |
| mid | VND 14.8K | VND 742 | 5.0% | VND 14.1K | VND 1.2K |
| senior | VND 24.5K | VND 1.2K | 5.0% | VND 23.3K | VND 1.9K |
| executive | VND 41.6K | VND 2.1K | 5.0% | VND 39.5K | VND 3.3K |
Progressive income tax · standard deduction VND 0. Social contributions and local levies are not included.
What renting costs in Vietnam
Rent varies by city. Choose a city to compare housing costs.
What to ask for
Based on market data for Machine Learning Engineer in Vietnam, the median is VND 14.8K and the 75th percentile is VND 17.2K. I am targeting VND 18.1K, which reflects my experience and the scope of the role.
Also negotiable sign-on bonus, equity, remote or hybrid flexibility, learning budget and additional leave
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Machine Learning Engineer salary in Vietnam — FAQ
What is the average salary of a Machine Learning Engineer in Vietnam?
SpotSalary models a median annual salary of VND 14.8K for a Machine Learning Engineer in Vietnam, or about VND 1,237 per month before tax. The middle 50% of the estimate ranges from VND 11.9K to VND 17.2K, with a full P10–P90 range of VND 9.5K to VND 20.6K. This is a modelled estimate, not a job offer.
How much does an entry-level Machine Learning Engineer earn in Vietnam?
The entry-level band for a Machine Learning Engineer in Vietnam centres on VND 9.6K per year (P25–P75: VND 7.7K–VND 11.2K). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities.
How much does a senior or executive Machine Learning Engineer earn in Vietnam?
The executive band for a Machine Learning Engineer in Vietnam has a median of VND 41.6K per year and a P75 of VND 48.2K. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level.
What is the salary outlook for a Machine Learning Engineer in Vietnam?
The outlook is growing. In the base scenario, median pay reaches VND 27.3K by 2031, about 84.2% above today before inflation and 10.0% per year in real terms after 3.0% inflation. Scenario bands widen over time and are not guarantees.
What is the take-home pay for a Machine Learning Engineer in Vietnam?
After an effective income tax rate of 5.0%, the mid-level Machine Learning Engineer in Vietnam takes home about VND 14,102 per year, or VND 1,175 per month. The estimate uses imported national tax brackets and does not include social contributions or local levies.
How does SpotSalary calculate these salary estimates?
Estimates are anchored to external market signals — GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure — and synthesised with AI. Deterministic validation rejects implausible outputs. This report carries 50% confidence.
What this benchmark is built on
SpotSalary anchors each estimate to external market signals, then synthesises the gap with AI. Deterministic validation rejects implausible outputs. Source names and data tiers are listed here; the full methodology is on the method page.
- SpotSalary deterministic wage model · derived data
What should you ask for?
Add your experience, current salary and skills to get a personal market value, your percentile, and a gap analysis — tracked over time.
Open the analyzerBenchmarks are constrained by market signals and validated for plausibility. Forecasts use inflation, wage growth, demand and automation, with scenario bands that widen over time.
Read how the estimate is built or download this report as Markdown / JSON.