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Software Engineer, Deep Learning

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April 29, 2024 3 minute read

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:

  • Developing and maintaining software solutions based on deep learning principles
  • Designing and implementing deep learning models and algorithms
  • Developing and maintaining machine learning platforms and tools
  • Training and deploying machine learning models for business applications
  • Working with data scientists and other engineering teams to develop and implement data-driven solutions

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Salaries for Software Engineer, Deep Learning

City
Median
New York
$220,000
San Francisco
$225,000
Seattle
$172,000
See all salaries
City
Median
New York
$220,000
San Francisco
$225,000
Seattle
$172,000
Austin
$207,000
Toronto
$166,000
London
£95,000
Paris
€75,000
Berlin
€131,000
Tel Aviv
₪472,000
Singapore
S$110,000
Beijing
¥1,220,000
Shanghai
¥640,000
Bengalaru
₹2,000,000
Delhi
₹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.

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