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Machine Learning Engineer Salary in New Jersey

BLS OES 2024-2025 — Computer and Information Research Scientists

Quick answer: The average machine learning engineer salary in New Jersey is $174,000 per year ($83.65/hr), which is +10.1% above the national average of $158,000.

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Average Annual Salary
$174,000
Machine Learning EngineerNew Jersey • 2024
New Jersey Annual
$174,000
vs National Average
+10.1%
$158,000 national
New Jersey Hourly
$83.65
per hour (2,080 hrs/yr)

Machine Learning Engineer Salary by State

Top 5 Highest Paying
1.California$212,000
2.Washington$198,000
3.New York$186,000
4.Massachusetts$182,000
5.Virginia$180,000
Bottom 5 Lowest Paying
1.Mississippi$102,000
2.West Virginia$104,000
3.Wyoming$112,000
4.South Dakota$112,000
5.North Dakota$112,000

Frequently Asked Questions

The average machine learning engineer salary in New Jersey is $174,000 per year as of BLS OES 2024-2025. This works out to approximately $83.65 per hour based on a standard 2,080-hour work year.

New Jersey's average machine learning engineer salary of $174,000 is above the national average of $158,000 by 16,000 (10.1%). New Jersey is one of the higher-paying states for this occupation.

Machine Learning Engineer salaries in New Jersey are influenced by cost of living, local demand for workers, industry concentration, years of experience, education level, employer size, and unionization rates. Metro areas within New Jersey may pay significantly more than rural areas.

Based on the annual salary of $174,000, the approximate hourly rate for a machine learning engineer in New Jersey is $83.65 per hour (assuming 2,080 hours per year). The national average hourly rate is $75.96.

According to BLS OES 2024-2025, the top paying states for Computer and Information Research Scientists are: California ($212,000), Washington ($198,000), New York ($186,000), Massachusetts ($182,000), Virginia ($180,000).

Yes. This data comes from the Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OES) survey, 2024-2025. The BLS OES program surveys over 1.1 million business establishments semi-annually and is the most comprehensive source of occupational wage data in the United States.

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Methodology

Salary data is sourced from the U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (OES) program, 2024-2025 release. The OES survey samples approximately 1.1 million non-farm business establishments across the US. Figures represent mean annual wages. Individual salaries vary based on experience, education level, employer size, geographic location within the state, and other factors. Data is updated annually. For the most current figures, visit bls.gov/oes.