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Career Definition of a Deep Learning Research Engineer
Deep learning research engineers are a kind of computer scientist. They specialize in using deep learning platforms for specific types of programming tasks related to artificial intelligence. Their goal is to develop programming systems that mimic brain functions. To do this, they use neural networks, which are data structures similar to the structure of the human brain. Although deep learning is considered a subset of machine learning, it's far more sophisticated. The objective is for the machines that operate with deep learning systems to be able to learn without human direction.
Deep learning research engineers may be involved in developing system and program design plans and determining how to integrate machines and programs. They are responsible for developing systems that can transfer data effectively and writing complex computer programming code to direct parts of the neural network to operate properly. They are required to continue researching in their field to ensure that their technological knowledge is up to date, and they may also publish works about their research. They may specifically work on things like self-driving vehicles, facial recognition software and robots.
|Educational Requirements||Master's or doctoral degree|
|Job Skills||Ability to work as part of a team, attention to detail, analytical skills, problem-solving skills, excellent communication skills, mathematical skills, expert research skills, computer programming skills|
|Mean Salary (2017)*||$109,087|
|Job Outlook (2014-2024)**||11% (for all computer and information research scientists)|
Sources: *Glassdoor.com; **U.S. Bureau of Labor Statistics
The level of knowledge needed for deep learning programming is extensive, and it is common for employers to seek applicants who have a master's or doctoral degree in a relevant field. While computer science is an obvious choice for a field of study, deep learning research engineers also need strong mathematical skills and analytical skills and can benefit from taking courses in applied mathematics, computer engineering or other comparable subject areas. They should be trained to use a wide range of computer programming languages and platforms, including Python, Matlab, Linux and C++.
Deep learning research engineers write and review lines of programming code using a range of programming languages, so they need to be able to pay close attention to details. They also need strong analytical skills to review systems and code to identify issues or areas for improvement. They coordinate with other professionals in order to develop effective systems, so they need to have the ability to work as part of a team and strong oral communication skills. They also need written communication skills to document their research and prepare reports. Expert computer programming skills, strong mathematical skills and problem-solving skills are also required for the work that deep learning research engineers do.
Career and Salary Outlook
An average annual income of $109,087 in 2017 was reported for these professionals by Glassdoor.com. The work they do is comparable to the work of computer and information research scientists, who also develop new forms of technology. The U.S. Bureau of Labor Statistics indicated that computer and information research scientists would experience a job growth rate of 11% from 2014 to 2024.
There are a lot of other areas that those interested in computer science and artificial intelligence. The articles linked to below explore some careers that share some common educational requirements and duties with deep learning research engineers.