Algorithm Engineer

606.049 kr. (DKK)/yr

291,37 kr. (DKK)/hr

27.818 kr. (DKK)/yr

The average algorithm engineer gross salary in Aalborg, Denmark is 606.049 kr. or an equivalent hourly rate of 291 kr.. This is 15% lower (-106.335 kr.) than the average algorithm engineer salary in Denmark. In addition, they earn an average bonus of 27.818 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Aalborg, Denmark. An entry level algorithm engineer (1-3 years of experience) earns an average salary of 423.813 kr.. On the other end, a senior level algorithm engineer (8+ years of experience) earns an average salary of 686.343 kr..

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Salary Potential

660.960 kr. (DKK)

9 %

Based on our compensation data, the estimated salary potential for Algorithm Engineer will increase 9 % over 5 years.

Education

This chart displays the highest level of education for:
Algorithm Engineer, the majority at 100% with bachelors.

Typical Field of Study: Computer Programming, Specific Applications

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City Overview

Aalborg, Denmark

The cost of living in Aalborg, Denmark is 7% less than the average cost of living in Denmark. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Aalborg or Ålborg ( AHL-borg, US also AWL-; Danish: [ˈʌlˌpɒˀ] ) is Denmark's fourth largest urban settlement (behind Copenhagen, Aarhus, and Odense) with a population of 119,862 (1 July 2022) in the town proper and an urban population of 143,598 (1 July 2022). As of 1 July 2022, the Municipality of Aalborg had a population of 221,082, making it the third most populous in the country after the municipalities of Copenhagen (capital) and Aarhus. Eurostat and OECD have used a definition for the met

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Disclaimer
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Researches, develops, and implements machine learning algorithms for use in software and hardware applications. Maintains up-to-date knowledge of current technological standards, equipment, and practices. Identifies and suggests optimizations and features to improve hardware/software capabilities.
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