Machine Learning Engineer Jobs in Software Engineering

Find Machine Learning Software Engineer Jobs

Machine Learning Engineers must have a strong interest and background in mathematics. They will use their knowledge of linear algebra, algorithms and probability theories to create an artificially intelligent system or computer that can perform tasks intelligently (that is without programming). The field of machine learning requires an understanding of data science, advanced robotics, coding methods, protyping and statistics. Experience with machine learning programming languages like R or Python and deep learning frameworks are also helpful.

Many Machine Learning Engineers will have started their careers as software engineers or data scientists. Nonetheless, several universities now offer an advanced degree in machine learning or artificial intelligence. Employment is possible for Machine Learning Engineers with banks, electronic companies, automotive manufacturers and governmental agencies. This type of engineer might work to solve problems related to fraud detection, facial recognition, quality assurance, speech recognition or cyber-physical systems. In areas of marketing, they might also train the machine to gather information and determine patterns for competitor analysis. Artificial intelligence also provides help with advertising by suggesting products to consumers based upon their purchasing history.

As a Machine Learning Engineer, one needs to be able to collaborate on projects with other high-tech professionals such as data scientists, product managers, research scientists and programmers. Consequently, strong communication, problem solving and leadership skills are a must.