{
    "url": "https://www.spotsalary.com/salary/machine-learning-engineer/saint-martin-mf",
    "canonical": "https://www.spotsalary.com/salary/machine-learning-engineer/saint-martin-mf",
    "headline": "Machine Learning Engineer Salary in Saint Martin",
    "description": "Median Machine Learning Engineer salary in Saint Martin is $346K 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": "Saint Martin",
        "slug": "saint-martin-mf",
        "type": "country",
        "iso2": "MF",
        "currency": "USD"
    },
    "period": 2026,
    "confidence": 68,
    "status": "published",
    "method": "nearest_neighbor",
    "updated_at": "2026-10-30T06:41:47+00:00",
    "salary_bands": [
        {
            "level": "entry",
            "years_experience": [
                0,
                2
            ],
            "p10": 155646.95,
            "p25": 188999.87,
            "p50": 222352.79,
            "p75": 255705.71,
            "p90": 300176.26,
            "base_share": 95,
            "bonus_share": 5,
            "equity_share": 0
        },
        {
            "level": "mid",
            "years_experience": [
                3,
                5
            ],
            "p10": 140193.27,
            "p25": 157665.1,
            "p50": 346035.53,
            "p75": 821637.07,
            "p90": 935757.36,
            "base_share": 88,
            "bonus_share": 8,
            "equity_share": 4
        },
        {
            "level": "senior",
            "years_experience": [
                6,
                9
            ],
            "p10": 394373.96,
            "p25": 478882.66,
            "p50": 563391.37,
            "p75": 647900.08,
            "p90": 760578.35,
            "base_share": 80,
            "bonus_share": 10,
            "equity_share": 10
        },
        {
            "level": "executive",
            "years_experience": [
                10,
                15
            ],
            "p10": 670479.17,
            "p25": 814153.28,
            "p50": 957827.39,
            "p75": 1101501.5,
            "p90": 1293066.97,
            "base_share": 65,
            "bonus_share": 15,
            "equity_share": 20
        }
    ],
    "take_home": {
        "currency": "USD",
        "tax_rate": null,
        "top_rate": null,
        "method": "no_data",
        "label": "no tax data",
        "standard_deduction": 0,
        "rebate": 0,
        "source": null,
        "source_url": null,
        "retrieved_at": null,
        "verified": false,
        "notes": "No country tax data available",
        "bands": [
            {
                "level": "entry",
                "gross": 222352.79,
                "taxable": 222352.79,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "no_data",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": null,
                "source_url": null,
                "retrieved_at": null,
                "verified": false,
                "notes": "No country tax data available"
            },
            {
                "level": "mid",
                "gross": 346035.53,
                "taxable": 346035.53,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "no_data",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": null,
                "source_url": null,
                "retrieved_at": null,
                "verified": false,
                "notes": "No country tax data available"
            },
            {
                "level": "senior",
                "gross": 563391.37,
                "taxable": 563391.37,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "no_data",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": null,
                "source_url": null,
                "retrieved_at": null,
                "verified": false,
                "notes": "No country tax data available"
            },
            {
                "level": "executive",
                "gross": 957827.39,
                "taxable": 957827.39,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "no_data",
                "top_rate": null,
                "standard_deduction": 0,
                "rebate": 0,
                "source": null,
                "source_url": null,
                "retrieved_at": null,
                "verified": false,
                "notes": "No country tax data available"
            }
        ]
    },
    "outlook": {
        "direction": "growing",
        "inflation_pct": 3,
        "real_growth_pct": 10,
        "forecasts": [
            {
                "year": 2027,
                "scenario": "base",
                "p25": 365994.86,
                "p50": 391020.15,
                "p75": 416045.44,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2027,
                "scenario": "conservative",
                "p25": 361136.52,
                "p50": 385829.62,
                "p75": 410522.71,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2027,
                "scenario": "optimistic",
                "p25": 370853.2,
                "p50": 396210.68,
                "p75": 421568.17,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "base",
                "p25": 463344.49,
                "p50": 499293.63,
                "p75": 535242.77,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "conservative",
                "p25": 445136.57,
                "p50": 479673.02,
                "p75": 514209.48,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "optimistic",
                "p25": 482042.28,
                "p50": 519442.11,
                "p75": 556841.94,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "base",
                "p25": 586544.19,
                "p50": 637548.03,
                "p75": 688551.88,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "conservative",
                "p25": 548634.18,
                "p50": 596341.5,
                "p75": 644048.82,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "optimistic",
                "p25": 626521.46,
                "p50": 681001.59,
                "p75": 735481.72,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% 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 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "20% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "10.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "13.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            }
        ]
    },
    "skills": [],
    "sources": [
        {
            "name": "Cuba",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Saint Pierre and Miquelon",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Mexico",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Guinea",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        }
    ],
    "faqs": [
        {
            "question": "What is the average salary of a Machine Learning Engineer in Saint Martin?",
            "answer": "SpotSalary models a median annual salary of $346K for a Machine Learning Engineer in Saint Martin, or about $28,836 per month before tax. The middle 50% of the estimate ranges from $157.7K to $821.6K, with a full P10–P90 range of $140.2K to $935.8K. This is a modelled estimate, not a job offer."
        },
        {
            "question": "How much does an entry-level Machine Learning Engineer earn in Saint Martin?",
            "answer": "The entry-level band for a Machine Learning Engineer in Saint Martin centres on $222.4K per year (P25–P75: $189K–$255.7K). 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 Saint Martin?",
            "answer": "The executive band for a Machine Learning Engineer in Saint Martin has a median of $957.8K per year and a P75 of $1.1M. 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 Saint Martin?",
            "answer": "The outlook is growing. In the base scenario, median pay reaches $637.5K 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."
        },
        {
            "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 68% confidence and draws on 25 salary observations."
        }
    ],
    "related": {
        "occupation_locations": [
            {
                "headline": "Machine Learning Engineer Salary in Belgium",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/belgium-be"
            },
            {
                "headline": "Machine Learning Engineer Salary in Iceland",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/iceland-is"
            },
            {
                "headline": "Machine Learning Engineer Salary in Kuala Lumpur, Malaysia",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/kuala-lumpur-my-1458988644"
            },
            {
                "headline": "Machine Learning Engineer Salary in Pristina, Kosovo",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/pristina-xk-1901760068"
            },
            {
                "headline": "Machine Learning Engineer Salary in Mexico",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/mexico-mx"
            },
            {
                "headline": "Machine Learning Engineer Salary in Cuba",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/cuba-cu"
            },
            {
                "headline": "Machine Learning Engineer Salary in Iran",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/iran-ir"
            },
            {
                "headline": "Machine Learning Engineer Salary in Guinea",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/guinea-gn"
            },
            {
                "headline": "Machine Learning Engineer Salary in Indonesia",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/indonesia-id"
            },
            {
                "headline": "Machine Learning Engineer Salary in Singapore",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/singapore-sg"
            },
            {
                "headline": "Machine Learning Engineer Salary in Canada",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/canada-ca"
            },
            {
                "headline": "Machine Learning Engineer Salary in Philippines",
                "url": "https://www.spotsalary.com/salary/machine-learning-engineer/philippines-ph"
            }
        ],
        "occupation_hub": "https://www.spotsalary.com/occupations/machine-learning-engineer",
        "location_hub": "https://www.spotsalary.com/locations/saint-martin-mf",
        "all_salaries": "https://www.spotsalary.com/salaries"
    },
    "citation": {
        "plain": "Machine Learning Engineer Salary in Saint Martin. SpotSalary. https://www.spotsalary.com/salary/machine-learning-engineer/saint-martin-mf",
        "updated_at": "2026-10-30T06:41:47+00:00"
    }
}