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Software Engineer, Deep Learning

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April 29, 2024 3 minute read

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With machine learning surpassing statistics as the most popular tool for solving business problems and deep learning dominating the AI space, the demand for Software Engineers in Deep Learning is growing fast. Software Engineers, Deep Learning are responsible for software development in the deep learning domain. They work with multi-layered neural networks to achieve machine cognition and develop self-learning algorithms for data analysis, predictions, and pattern recognition.

What Do Software Engineers, Deep Learning Do?

Software Engineers, Deep Learning’s responsibilities typically include:

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Salaries for Software Engineer, Deep Learning

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$172,000

$220,000

$297,000

$220,000

San Francisco

$184,000

$225,000

$272,000

$225,000

Seattle

$145,000

$172,000

$214,000

$172,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$172,000

$220,000

$297,000

$220,000

San Francisco

$184,000

$225,000

$272,000

$225,000

Seattle

$145,000

$172,000

$214,000

$172,000

Austin

$160,000

$207,000

$283,000

$207,000

Toronto

$131,000

$166,000

$214,000

$166,000

London

£75,000

£95,000

£137,000

£95,000

Paris

€60,000

€75,000

€95,000

€75,000

Berlin

€110,000

€131,000

€167,000

€131,000

Tel Aviv

₪300,000

₪472,000

₪597,000

₪472,000

Singapore

S$83,500

S$110,000

S$149,000

S$110,000

Beijing

¥728,000

¥1,220,000

¥1,700,000

¥1,220,000

Shanghai

¥472,000

¥640,000

¥894,000

¥640,000

Bengalaru

₹1,400,000

₹2,000,000

₹2,800,000

₹2,000,000

Delhi

₹1,000,000

₹2,000,000

₹4,250,000

₹2,000,000

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

Path to Software Engineer, Deep Learning

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

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Fashion Image Classification using CNNs in Pytorch

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