Engineer Algorithm

109.050 € (EUR)/yr

52,43 € (EUR)/hr

5.005 € (EUR)/yr

The average engineer algorithm gross salary in Ingolstadt, Germany is 109.050 € or an equivalent hourly rate of 52 €. This is 9% higher (+8.699 €) than the average engineer algorithm salary in Germany. In addition, they earn an average bonus of 5.005 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Ingolstadt, Germany. An entry level engineer algorithm (1-3 years of experience) earns an average salary of 76.326 €. On the other end, a senior level engineer algorithm (8+ years of experience) earns an average salary of 123.707 €.

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Salary Potential

124.277 € (EUR)

14 %

Based on our compensation data, the estimated salary potential for Engineer Algorithm will increase 14 % over 5 years.

Education

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

Typical Field of Study: Computer Programming, Specific Applications

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City Overview

Ingolstadt, Germany

The cost of living in Ingolstadt, Germany is 4% more than the average cost of living in Germany. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Ingolstadt (German: [ˈɪŋɡɔlˌʃtat] ; Austro-Bavarian: [ˈɪŋl̩ʃtɔːd]) is an independent city on the Danube, in Upper Bavaria, with 142,308 inhabitants (as of 31 December 2023). Around half a million people live in the metropolitan area. Ingolstadt is the second largest city in Upper Bavaria after Munich and the fifth largest city in Bavaria after Munich, Nuremberg, Augsburg and Regensburg. The city passed the mark of 100,000 inhabitants in 1989 and has since been one of the major cities in Germany.

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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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