# Machine Learning Engineer Salary in Romania > Median Machine Learning Engineer salary in Romania is lei 14.8K per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook. - Canonical URL: https://www.spotsalary.com/salary/machine-learning-engineer/romania-ro - Currency: RON - Benchmark year: 2026 - Confidence: 50% - Outlook: Growing - Last updated: 2026-10-30T02:13:56+00:00 - Generated by: SpotSalary ## Key facts - Median (mid-level) annual salary: **lei 14.8K** (lei 1,237 per month before tax). - Middle 50% range (P25–P75): lei 11.9K – lei 17.2K. - Full range (P10–P90): lei 9.5K – lei 20.6K. - Experience band: 3–5 years. ## Salary by experience level | Level | Experience | P10 | P25 | Median | P75 | P90 | Base / Bonus / Equity | | --- | --- | ---: | ---: | ---: | ---: | ---: | --- | | Entry | 0–2 yrs | lei 6.2K | lei 7.7K | lei 9.6K | lei 11.2K | lei 13.4K | 95% / 5% / 0% | | Mid | 3–5 yrs | lei 9.5K | lei 11.9K | lei 14.8K | lei 17.2K | lei 20.6K | 88% / 8% / 4% | | Senior | 6–9 yrs | lei 15.7K | lei 19.6K | lei 24.5K | lei 28.4K | lei 34K | 80% / 10% / 10% | | Executive | 10–15 yrs | lei 26.7K | lei 33.3K | lei 41.6K | lei 48.2K | lei 57.7K | 65% / 15% / 20% | ## Take-home pay Tax method: top rate only. | Level | Gross | Tax | Effective rate | Net annual | Net monthly | | --- | ---: | ---: | ---: | ---: | ---: | | Entry | lei 9,649 | n/a | n/a% | n/a | n/a | | Mid | lei 14,844 | n/a | n/a% | n/a | n/a | | Senior | lei 24,493 | n/a | n/a% | n/a | n/a | | Executive | lei 41,564 | n/a | n/a% | n/a | n/a | Social contributions and local levies are not included. ## Five-year salary outlook Outlook: Growing. Inflation assumption: 3.0%/year. Real growth: 10.0%/year. | Year | P25 | Base (P50) | P75 | Nominal change vs today | | --- | ---: | ---: | ---: | ---: | | 2027 | lei 15.7K | lei 16.8K | lei 17.8K | 13.0% | | 2029 | lei 19.9K | lei 21.4K | lei 23K | 44.3% | | 2031 | lei 25.2K | lei 27.3K | lei 29.5K | 84.2% | ## What moves this number - **Inflation (CPI)** (steady): 3.0% annual price growth - **Wage growth** (up): 3.0% nominal wage trend - **Role demand trend** (up): 10.0% annual role demand - **Hiring demand** (steady): Demand index 50/100 - **Automation exposure** (steady): 20% exposure - **Real wage growth** (up): 10.0% after 3.0% inflation - **Scenario growth** (up): 13.0% modelled nominal growth ## Frequently asked questions ### 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. ## Methodology and sources SpotSalary anchors estimates to external market signals (GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure) and synthesises them with AI. Deterministic validation rejects implausible outputs. Figures are modelled estimates for guidance only, not offers. 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