Algorithm Engineer

¥9,392,729 (JPY)/yr

¥4,515.74 (JPY)/hr

¥431,126 (JPY)/yr

The average algorithm engineer gross salary in Wakkanai, Japan is ¥9,392,729 or an equivalent hourly rate of ¥4,516. This is 14% lower (-¥1,489,525) than the average algorithm engineer salary in Japan. In addition, they earn an average bonus of ¥431,126. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Wakkanai, Japan. An entry level algorithm engineer (1-3 years of experience) earns an average salary of ¥6,564,374. On the other end, a senior level algorithm engineer (8+ years of experience) earns an average salary of ¥10,625,024.

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Salary Potential

¥11,134,505 (JPY)

19 %

Based on our compensation data, the estimated salary potential for Algorithm Engineer will increase 19 % 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

Wakkanai, Japan

The cost of living in Wakkanai, Japan is 3% less than the average cost of living in Japan. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Wakkanai (稚内市, Wakkanai-shi; Ainu: ヤㇺワッカナィ Yam-wakka-nay meaning "cold water river" or more literally "cold river valley") is a city located in Sōya Subprefecture, Hokkaido, Japan. Wakkanai is the capital of Sōya Subprefecture. Situated approximately 1,100 km north of Tokyo and 270 km north of Sapporo, it is the northernmost municipality under Japanese administration following the loss of Karafuto (present-day Sakhalin) and the Kuril Islands, with Benten-jima being the northernmost point under J

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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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