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Machine Learning Engineers develop systems and computers that have the ability to learn knowledge and apply it without additional inputs These developers work in the artificial intelligence field, and use programming languages to create systems that function on their own. These systems don't require inputs from a person, but are able to perform specific tasks based on the direction written into their programs. Some Machine Learning Engineers work in fields specializing in tailored web searches and custom news feeds, while others focus on technology for self-driving cars and other analytical model building. In all of these areas, the engineers create programs that rely on data analysis that uses algorithms to repeatedly learn from their built-in data. Over time, these systems apply pattern recognition to produce results that are reliable and relevant to the developers' original programming, while learning from the data that they collect with each use.
Ideal Machine Learning Engineer candidates have an in-depth understanding of Python, Java, C++, R and other programming languages. They are well-versed in applied math, probability and statistics and problem solving. They also have a deep understanding of a variety of algorithms. Working in the Machine Learning Engineer field requires working with large data sets, and using Hadoop, EC2 and other cloud services to process the information. The ability to work with Linux systems is a plus. Candidates should also understand and be able to apply advanced signal processing techniques to create a variety of solutions within the programs they create.