Algorithm Engineer
kr 960 776 (NOK)/yr
kr 461,91 (NOK)/hr
kr 44 100 (NOK)/yr
The average algorithm engineer gross salary in Bergen, Norway is kr 960 776 or an equivalent hourly rate of kr 462. This is 5% lower (-kr 48 598) than the average algorithm engineer salary in Norway. In addition, they earn an average bonus of kr 44 100. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Bergen, Norway. An entry level algorithm engineer (1-3 years of experience) earns an average salary of kr 672 463. On the other end, a senior level algorithm engineer (8+ years of experience) earns an average salary of kr 1 089 909.
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kr 1 101 518 (NOK)
15 %
Based on our compensation data, the estimated salary potential for Algorithm Engineer will increase 15 % over 5 years.
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
See how education can impact your salaryThe cost of living in Bergen, Norway is 2% more 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 PageBergen (Norwegian pronunciation: [ˈbæ̀rɡən] , locally [ˈbæ̂ʁgæn]) is a city and municipality in the Vestland county on the west coast of Norway. Bergen is the second-largest city in Norway after the capital, Oslo. At the beginning of 2026, the population was 294,860, according to Statistics Norway. The municipality covers 465 square kilometres (180 sq mi) and is on the peninsula of Bergenshalvøyen. The city centre and northern neighbourhoods are on Byfjorden, 'the city fjord'. The city is surro
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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