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Search Relevance Engineer

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April 29, 2024 3 minute read

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A Search Relevance Engineer is responsible for designing, developing, and maintaining search engines. They work to improve the accuracy and efficiency of search results, ensuring users can find the information they are looking for quickly and easily. Search Relevance Engineers use a variety of techniques to improve search results, including machine learning, natural language processing, and data analysis.

Skills and Knowledge Required

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Salaries for Search Relevance Engineer

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$138,000

$164,000

$201,000

$164,000

San Francisco

$142,000

$178,000

$221,000

$178,000

Seattle

$151,000

$177,000

$211,000

$177,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$138,000

$164,000

$201,000

$164,000

San Francisco

$142,000

$178,000

$221,000

$178,000

Seattle

$151,000

$177,000

$211,000

$177,000

Austin

$135,000

$164,000

$193,000

$164,000

Toronto

$103,000

$124,800

$163,000

$124,800

London

£111,000

£150,000

£201,000

£150,000

Paris

€59,000

€73,000

€86,000

€73,000

Berlin

€90,000

€102,000

€120,000

€102,000

Tel Aviv

₪355,000

₪432,000

₪545,000

₪432,000

Singapore

S$88,000

S$133,000

S$163,000

S$133,000

Beijing

¥523,000

¥721,000

¥1,160,000

¥721,000

Shanghai

¥110,000

¥145,000

¥189,000

¥145,000

Bengalaru

₹3,210,000

₹4,680,000

₹6,620,000

₹4,680,000

Delhi

₹2,600,000

₹4,580,000

₹7,440,000

₹4,580,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Search Relevance Engineer

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We've curated one courses to help you on your path to Search Relevance Engineer. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Executing Full Text Queries with Elasticsearch

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