{
    "url": "https://www.spotsalary.com/salary/machine-learning-engineer/indonesia-id",
    "canonical": "https://www.spotsalary.com/salary/machine-learning-engineer/indonesia-id",
    "headline": "Machine Learning Engineer Salary in Indonesia",
    "description": "Median Machine Learning Engineer salary in Indonesia is Rp218.9M per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook.",
    "occupation": {
        "name": "Machine Learning Engineer",
        "slug": "machine-learning-engineer",
        "family": "technology",
        "soc_code": "15-2051",
        "aliases": [
            "ML Engineer",
            "AI Engineer"
        ],
        "description": null
    },
    "location": {
        "name": "Indonesia",
        "slug": "indonesia-id",
        "type": "country",
        "iso2": "ID",
        "currency": "IDR"
    },
    "period": 2026,
    "confidence": 80,
    "status": "published",
    "method": "model",
    "updated_at": "2026-10-30T02:07:03+00:00",
    "salary_bands": [
        {
            "level": "entry",
            "years_experience": [
                0,
                2
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            "p10": 91471038.75,
            "p25": 113830626,
            "p50": 142288282.5,
            "p75": 165054407.7,
            "p90": 197577443.7,
            "base_share": 95,
            "bonus_share": 5,
            "equity_share": 0
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        {
            "level": "mid",
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                5
            ],
            "p10": 140724675,
            "p25": 175124040,
            "p50": 218905050,
            "p75": 253929858,
            "p90": 303965298,
            "base_share": 88,
            "bonus_share": 8,
            "equity_share": 4
        },
        {
            "level": "senior",
            "years_experience": [
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                9
            ],
            "p10": 232195713.75,
            "p25": 288954666,
            "p50": 361193332.5,
            "p75": 418984265.7,
            "p90": 501542741.7,
            "base_share": 80,
            "bonus_share": 10,
            "equity_share": 10
        },
        {
            "level": "executive",
            "years_experience": [
                10,
                15
            ],
            "p10": 394029090,
            "p25": 490347312,
            "p50": 612934140,
            "p75": 711003602.4,
            "p90": 851102834.4,
            "base_share": 65,
            "bonus_share": 15,
            "equity_share": 20
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    ],
    "take_home": {
        "currency": "IDR",
        "tax_rate": 12.259085617257345,
        "top_rate": null,
        "method": "progressive",
        "label": "progressive brackets",
        "standard_deduction": 0,
        "rebate": 0,
        "source": "PwC Worldwide Tax Summaries",
        "source_url": "https://taxsummaries.pwc.com/indonesia/individual/taxes-on-personal-income",
        "retrieved_at": "2026-10-23T00:00:00.000000Z",
        "verified": true,
        "notes": "2026 PPh 21 resident employment; excludes deductions",
        "bands": [
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                "level": "entry",
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                "taxable": 142288282.5,
                "tax": 15343242.375,
                "effective_rate": 10.783208641934378,
                "net_annual": 126945040.125,
                "net_monthly": 10578753.34375,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/indonesia/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
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            },
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                "level": "mid",
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                "net_monthly": 16005774.375,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/indonesia/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "2026 PPh 21 resident employment; excludes deductions"
            },
            {
                "level": "senior",
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                "tax": 59298333.125,
                "effective_rate": 16.417338801512898,
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                "net_monthly": 25157916.614583332,
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                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/indonesia/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "2026 PPh 21 resident employment; excludes deductions"
            },
            {
                "level": "executive",
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                "taxable": 612934140,
                "tax": 127880242,
                "effective_rate": 20.86361872419115,
                "net_annual": 485053898,
                "net_monthly": 40421158.166666664,
                "method": "progressive",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "PwC Worldwide Tax Summaries",
                "source_url": "https://taxsummaries.pwc.com/indonesia/individual/taxes-on-personal-income",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "2026 PPh 21 resident employment; excludes deductions"
            }
        ]
    },
    "outlook": {
        "direction": "growing",
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                    },
                    {
                        "name": "Wage growth",
                        "note": "5.5% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
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                        "name": "Hiring demand",
                        "note": "Demand index 56/100",
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                    {
                        "name": "Automation exposure",
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                        "name": "Real wage growth",
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                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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            },
            {
                "year": 2027,
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                        "name": "Inflation (CPI)",
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                        "weight": "high",
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                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
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                        "name": "Hiring demand",
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                    {
                        "name": "Real wage growth",
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                    {
                        "name": "Scenario growth",
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            {
                "year": 2027,
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                "p25": 242800725.26,
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                    {
                        "name": "Inflation (CPI)",
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                    {
                        "name": "Wage growth",
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                        "name": "Role demand trend",
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                        "name": "Hiring demand",
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                        "name": "Real wage growth",
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                    {
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                "year": 2029,
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                        "name": "Inflation (CPI)",
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                    {
                        "name": "Wage growth",
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                        "weight": "high",
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                    {
                        "name": "Role demand trend",
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                    {
                        "name": "Hiring demand",
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                        "name": "Automation exposure",
                        "note": "20% exposure",
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                    {
                        "name": "Real wage growth",
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                        "weight": "high",
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                    {
                        "name": "Scenario growth",
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            {
                "year": 2029,
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                    {
                        "name": "Wage growth",
                        "note": "5.5% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 56/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
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                    {
                        "name": "Real wage growth",
                        "note": "13.5% after 3.5% inflation",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
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                ]
            },
            {
                "year": 2029,
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                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "5.5% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 56/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "13.5% after 3.5% inflation",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
                        "weight": "high",
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                ]
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            {
                "year": 2031,
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                "drivers": [
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                        "name": "Inflation (CPI)",
                        "note": "3.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "5.5% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
                        "weight": "high",
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                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 56/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "13.5% after 3.5% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
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            {
                "year": 2031,
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                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "5.5% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
                        "weight": "high",
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                    {
                        "name": "Hiring demand",
                        "note": "Demand index 56/100",
                        "weight": "medium",
                        "direction": "up"
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                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
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                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "13.5% after 3.5% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "optimistic",
                "p25": 470582052.53,
                "p50": 511502231.02,
                "p75": 552422409.5,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.5% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "5.5% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "10.0% annual role demand",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 56/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "13.5% after 3.5% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "17.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            }
        ]
    },
    "skills": [],
    "sources": [
        {
            "name": "Numbeo / OECD composite (US=100)",
            "url": null,
            "type": "market_signal",
            "tier": "derived"
        },
        {
            "name": "Open exchange rates (2026)",
            "url": null,
            "type": "market_signal",
            "tier": "official"
        },
        {
            "name": "World Bank / IMF (2026 est.)",
            "url": null,
            "type": "market_signal",
            "tier": "official"
        },
        {
            "name": "OECD / national tax tables",
            "url": null,
            "type": "market_signal",
            "tier": "derived"
        },
        {
            "name": "ILO modelled estimates (2026)",
            "url": null,
            "type": "market_signal",
            "tier": "official"
        },
        {
            "name": "SpotSalary deterministic wage model",
            "url": null,
            "type": "deterministic_model",
            "tier": "derived"
        }
    ],
    "faqs": [
        {
            "question": "What is the average salary of a Machine Learning Engineer in Indonesia?",
            "answer": "SpotSalary models a median annual salary of Rp218.9M for a Machine Learning Engineer in Indonesia, or about Rp18,242,088 per month before tax. The middle 50% of the estimate ranges from Rp175.1M to Rp253.9M, with a full P10–P90 range of Rp140.7M to Rp304M. This is a modelled estimate, not a job offer."
        },
        {
            "question": "How much does an entry-level Machine Learning Engineer earn in Indonesia?",
            "answer": "The entry-level band for a Machine Learning Engineer in Indonesia centres on Rp142.3M per year (P25–P75: Rp113.8M–Rp165.1M). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities."
        },
        {
            "question": "How much does a senior or executive Machine Learning Engineer earn in Indonesia?",
            "answer": "The executive band for a Machine Learning Engineer in Indonesia has a median of Rp612.9M per year and a P75 of Rp711M. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level."
        },
        {
            "question": "What is the salary outlook for a Machine Learning Engineer in Indonesia?",
            "answer": "The outlook is growing. In the base scenario, median pay reaches Rp479.9M by 2031, about 119.2% above today before inflation and 13.5% per year in real terms after 3.5% inflation. Scenario bands widen over time and are not guarantees."
        },
        {
            "question": "What is the take-home pay for a Machine Learning Engineer in Indonesia?",
            "answer": "After an effective income tax rate of 12.3%, the mid-level Machine Learning Engineer in Indonesia takes home about Rp192,069,293 per year, or Rp16,005,774 per month. The estimate uses imported national tax brackets and does not include social contributions or local levies."
        },
        {
            "question": "How does SpotSalary calculate these salary estimates?",
            "answer": "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 80% confidence."
        }
    ],
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        ],
        "occupation_hub": "https://www.spotsalary.com/occupations/machine-learning-engineer",
        "location_hub": "https://www.spotsalary.com/locations/indonesia-id",
        "all_salaries": "https://www.spotsalary.com/salaries"
    },
    "citation": {
        "plain": "Machine Learning Engineer Salary in Indonesia. SpotSalary. https://www.spotsalary.com/salary/machine-learning-engineer/indonesia-id",
        "updated_at": "2026-10-30T02:07:03+00:00"
    }
}