Engineer Algorithm

791.036 kr (SEK)/yr

380,31 kr (SEK)/hr

36.309 kr (SEK)/yr

The average engineer algorithm gross salary in Orebro, Sweden is 791.036 kr or an equivalent hourly rate of 380 kr. This is 3% higher (+23.036 kr) than the average engineer algorithm salary in Sweden. In addition, they earn an average bonus of 36.309 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Orebro, Sweden. An entry level engineer algorithm (1-3 years of experience) earns an average salary of 553.340 kr. On the other end, a senior level engineer algorithm (8+ years of experience) earns an average salary of 896.345 kr.

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Salary Potential

883.973 kr (SEK)

12 %

Based on our compensation data, the estimated salary potential for Engineer Algorithm will increase 12 % 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

Orebro, Sweden

The cost of living in Orebro, Sweden is 2% less than the average cost of living in Sweden. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

View Cost of Living Page

Örebro ( UR-ə-BROO; Swedish: [œrɛˈbruː] ) is the seventh-largest city in Sweden, the seat of Örebro Municipality, and capital of Örebro County. It is situated by the Närke Plain, near the lake Hjälmaren, a few kilometers inland along the small river Svartån, and has a population of approximately 126,000 in the city proper. It is one of the largest inland hubs of the country, and a major logistic and commercial operating site. Örebro is home to Örebro University, a major university hospital, a me

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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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