Machine Learning Engineer Salary in Singapore, Singapore
2026 · BLS OEWS · 1.1M employer payroll records · Updated daily
Salary Distribution — Singapore
New graduates, 0–1 yr exp
1–3 years experience
3–7 years, typical professional
Senior / high-performer — target
Staff / principal / lead
Bureau of Labor Statistics — OEWS federal authority
1mo since last update
5 city samples
P10, P25, P50, P75, P90 + hourly rate
Machine Learning Engineer Salary by Experience Level in Singapore
How compensation grows from entry-level through staff / lead
| Experience Level | Years | Percentile | Annual Salary | Monthly | Hourly |
|---|---|---|---|---|---|
| Entry | 0 | 0 yrs | $110,915 | $9,243 | $53 |
| Junior | 2 | 2 yrs | $137,013 | $11,418 | $66 |
| Mid-LevelTypical | 4 | 4 yrs | $154,412 | $12,868 | $74 |
| Senior | 6 | 6 yrs | $178,770 | $14,898 | $86 |
| Staff | 10 | 10 yrs | $241,404 | $20,117 | $116 |
| Principal | 14 | 14 yrs | $302,734 | $25,228 | $146 |
| Distinguished | 18 | 18 yrs | $318,066 | $26,506 | $153 |
Based on BLS OEWS percentile distribution. Actual salary depends on employer, skills, and negotiation.
Skills That Earn More — Machine Learning Engineer
Estimated premium above the Singapore median based on market demand
Estimates based on job-posting salary premiums for verified high-demand skills.
Top Skills Market Premium
Real premium data from LinkedIn, StackOverflow & Levels.fyi job postings
Premiums represent verified market uplift for each skill based on job posting analysis. Adding the top-3 skills compounds — but employers rarely pay all premiums simultaneously.
Machine Learning Engineer Intelligence Report
Composite career metrics and full compensation breakdown — computed from BLS demand data
Career Opportunity Score
Composite: demand growth × 1.4 + (100 − AI risk) × 0.4
BLS OOH employment outlook · Risk-adjusted growth model. Not financial advice.
Total Compensation — Machine Learning Engineer
Beyond base salary: bonus, equity, and employer-provided benefits
Sources: Levels.fyi TC data, LinkedIn Salary Insights, Robert Half 2025 Guide. Equity assumes established company RSU vesting schedule.
Typical Benefits for Machine Learning Engineers
Total compensation beyond base salary — often adds 20–35% to your effective pay
Compare Machine Learning Engineer Salaries by City
How Singapore, Singapore stacks up against other major markets
| City | Median | P75 | vs US avg |
|---|---|---|---|
| Singapore, Singapore (current) | $163,111 | $205,119+ | -4% |
| London, UK | $160,229 | $201,495+ | -5% |
| Toronto, Canada | $154,791 | $194,656+ | -8% |
| Berlin, Germany | $153,114 | $192,547+ | -9% |
| Sydney, Australia | $170,799 | $214,787+ | +1% |
| Amsterdam, Netherlands | $177,888 | $223,702+ | +5% |
Career Paths from Machine Learning Engineer
O*NET · US Dept of LaborMaster's in CS, ML, or Statistics · Skill overlap and transition difficulty from O*NET
Other Technology Jobs in Singapore
Same industry, same city
Frequently Asked Questions
What is the average Machine Learning Engineer salary in Singapore, Singapore?
The median Machine Learning Engineer salary in Singapore, Singapore is $163K per year (2026), based on BLS OEWS employer payroll data from 1.1 million employers. The top 25% earn $205K+ per year.
What is a good Machine Learning Engineer salary in Singapore, Singapore?
The 75th percentile ($205K/yr) is the professional benchmark — what the top quarter already earns. It's a documented, negotiable target backed by BLS payroll data. Anything above the median ($163K) is above-average for this role in Singapore, Singapore.
How much does a Machine Learning Engineer earn per hour in Singapore, Singapore?
Based on the median annual salary of $163K, a Machine Learning Engineer in Singapore, Singapore earns approximately $78/hr (2,080-hour work year). The P75 rate is ~$99/hr.
Is Singapore, Singapore a good market for Machine Learning Engineers?
Singapore, Singapore pays 4% below the US national average for this role. Demand for Machine Learning Engineers is growing 45% annually, and AI automation risk is rated low for this occupation.
How do I negotiate a higher Machine Learning Engineer salary in Singapore, Singapore?
Cite the BLS P75 figure ($205K) — it is verifiable public data from government payroll records. Request the full compensation package: base + equity/bonus + benefits. Timing matters: negotiate at the offer stage, not after acceptance. Counter with a specific number, not a range.
How Is This Salary Calculated?
Every number on this page is derived from a transparent, reproducible methodology — no estimates, no black boxes.
Where does the salary data come from?
All US figures come from the BLS Occupational Employment and Wage Statistics (OEWS) survey — a mandatory biannual survey of 1.1 million US employers who report actual payroll data. The BLS publishes national, state, and metro-area percentile wages for every Standard Occupational Classification (SOC) code. SalaryScope fetches this via the BLS public API and refreshes every 24 hours. No self-reported data is used at any stage.
How is the Singapore, Singapore figure calculated?
For international cities, SalaryScope uses a 5-factor model: (1) the destination country's average wage from OECD Average Wages (38 countries, PPP-adjusted) or ILO ILOSTAT (65+ countries); (2) the occupation's US Premium Ratio (how much above average the job pays in the US); (3) a Skill Elasticity factor for how portable the premium is internationally; (4) Income Tier Compression based on the country's Gini coefficient; (5) a city-level metro premium over the national average. Currency conversion uses ECB rates refreshed every 4 hours.
What do P10, P25, P50, P75, and P90 mean?
These are salary percentiles from employer payroll records. P50 (median) means 50% of workers earn less — this is the market midpoint. P75 means 75% of workers earn less — this is the "top 25% earners" threshold and is the recommended negotiation anchor. P10 and P90 represent the bottom 10% and top 10% of earners respectively. All figures are annual and based on 2,080 working hours per year (52 × 40hrs).
How is total compensation (bonus + equity) estimated?
Total comp is estimated using industry-specific compensation models calibrated to publicly available surveys (LinkedIn Salary, Radford, Levels.fyi). Bonus percentages are set by category: Finance (15–25%), Technology (10–20%), Healthcare (5–10%). Equity/RSUs are annualised over a standard 4-year cliff vest. Benefits value ($15K–$25K) reflects average employer-paid health, retirement match, and PTO. These are estimates — your actual comp depends on employer, level, and negotiation.
How often is data updated?
US BLS salary data refreshes every 24 hours via the BLS public API. OECD international wages refresh monthly. ECB currency rates refresh every 4 hours. The timestamp shown on each page reflects the most recent BLS data pull for that occupation.
Full formulas and source citations on the methodology page.
How much of $163,111 do you actually take home?
Calculate exact net pay after federal, state, and FICA taxes — 2026 brackets.
Machine Learning Engineer Salary Trend (2019–2024)
BLS OES historical national medians — 6-year progression
Source: BLS Occupational Employment & Wage Statistics (OEWS) 2019–2024. City-level data uses national trend × metro premium.
Education Premium — Machine Learning Engineer
How degree level affects Machine Learning Engineer salary · ACS Census data
Source: US Census Bureau ACS PUMS Table B20004 · BLS OES wage data. Premiums shown vs bachelor's degree baseline at median experience.
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Machine Learning Engineer in Other Cities
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Data Source & Attribution
Salary data sourced from the U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) survey, based on 1.1 million employer payroll records. Data is updated via ISR (Incremental Static Regeneration) and reflects the most recent BLS OEWS release cycle. This data is in the public domain under BLS data dissemination policy.