Search salaries Machine Learning Engineer · Romania Change
Country · RON · 2026Machine Learning Engineer Salary in Romania
Your earning potential as a Machine Learning Engineer in Romania
In Romania, pay for this role varies with experience, company and the responsibilities you take on.
Estimated mid-level pay centres around lei 14.8K a year — about lei 1,237 a month before tax.
The benchmark spans lei 7.7K at entry level to lei 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 RON/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 | lei 7.7K |
lei 9.6K
≈ $9,649
|
lei 11.2K | lei 6.2K – lei 13.4K |
| mid | 3–5 yrs | lei 11.9K |
lei 14.8K
≈ $14,844
|
lei 17.2K | lei 9.5K – lei 20.6K |
| senior | 6–9 yrs | lei 19.6K |
lei 24.5K
≈ $24,493
|
lei 28.4K | lei 15.7K – lei 34K |
| executive | 10–15 yrs | lei 33.3K |
lei 41.6K
≈ $41,564
|
lei 48.2K | lei 26.7K – lei 57.7K |
Five-year salary trend
What moves this number
What lands in your account
| Level | Gross | Tax | Effective | Net annual | Net monthly |
|---|---|---|---|---|---|
| entry | lei 9.6K | Not enough bracket data for a take-home estimate | |||
| mid | lei 14.8K | Not enough bracket data for a take-home estimate | |||
| senior | lei 24.5K | Not enough bracket data for a take-home estimate | |||
| executive | lei 41.6K | Not enough bracket data for a take-home estimate | |||
Only the top marginal rate (10.0%) is known. It is not applied flat, because that would overstate tax at lower incomes. Add verified brackets to enable a take-home estimate. Social contributions and local levies are not included.
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What to ask for
Based on market data for Machine Learning Engineer in Romania, the median is lei 14.8K and the 75th percentile is lei 17.2K. I am targeting lei 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 Romania — FAQ
What is the average salary of a Machine Learning Engineer in Romania?
SpotSalary models a median annual salary of lei 14.8K for a Machine Learning Engineer in Romania, or about lei 1,237 per month before tax. The middle 50% of the estimate ranges from lei 11.9K to lei 17.2K, with a full P10–P90 range of lei 9.5K to lei 20.6K. This is a modelled estimate, not a job offer.
How much does an entry-level Machine Learning Engineer earn in Romania?
The entry-level band for a Machine Learning Engineer in Romania centres on lei 9.6K per year (P25–P75: lei 7.7K–lei 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 Romania?
The executive band for a Machine Learning Engineer in Romania has a median of lei 41.6K per year and a P75 of lei 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 Romania?
The outlook is growing. In the base scenario, median pay reaches lei 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.
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.