Software Engineer Machine Learning
kr 982 322 (NOK)/yr
kr 472,27 (NOK)/hr
kr 45 089 (NOK)/yr
The average software engineer machine learning gross salary in Haugesund, Norway is kr 982 322 or an equivalent hourly rate of kr 472. This is 3% lower (-kr 27 128) than the average software engineer machine learning salary in Norway. In addition, they earn an average bonus of kr 45 089. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Haugesund, Norway. An entry level software engineer machine learning (1-3 years of experience) earns an average salary of kr 687 544. On the other end, a senior level software engineer machine learning (8+ years of experience) earns an average salary of kr 1 114 350.
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kr 1 126 221 (NOK)
15 %
Based on our compensation data, the estimated salary potential for Software Engineer Machine Learning will increase 15 % over 5 years.
This chart displays the highest level of education for:
Software Engineer Machine Learning, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Haugesund, Norway is 4% less than the average cost of living in Norway. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageHaugesund ([ˈhæʉɡəsʉn] ) is a town in Haugesund Municipality in Rogaland county, Norway. The town is located along the Karmsundet strait on the southwest coast of Norway. The town lies about 60 kilometres (37 mi) north of the city of Stavanger and about 120 kilometres (75 mi) south of the city of Bergen. The 21.42-square-kilometre (5,290-acre) town has a population (2025) of 47,346 and a population density of 2,210 inhabitants per square kilometre (5,700/sq mi). The town of Haugesund dominates t
Sourced from WikipediaERI'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.
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