Career roadmap: Machine learning engineer
the study of algorithms and statistical models that systems use to perform tasks by relying on patterns and inference — is one of the highest demand skills in today’s technology job market.
It stands to reason, then, that machine learning engineers are in good place as far as career outlook. These professionals are sophisticated programmers who develop machines and systems that can learn and apply knowledge without specific direction, according to Study.com, an online education platform.
The focus of machine learning engineers goes beyond specifically programming machines to perform specific tasks, Study.com notes. They create programs that allow machines to take actions without being specifically directed to perform the tasks.
Such an engineer might work on the development of a self-driving vehicle, for example, or program services in such a way that they can attempt to identify a specific individual’s interests. “From customized news feeds to tailored web searches, machine learning engineers are contributing to the daily lives of many individuals and how they use technology,” Study.com said.
Among the job skills machine learning engineers need to have are computer programming (possibly including knowledge of specific languages such as C++ or Java), math, data analytics, data mining, knowledge of cloud applications, and the ability to communicate well.
Professional social networking site LinkedIn in its Most Promising Jobs listing for 2019 ranked machine learning engineer No. 15. The rankings are based on factors such as high salaries, a significant number of job openings, and year-over-year growth. To determine the best jobs for career opportunity, LinkedIn combined data from millions of member profiles, job openings and salaries.
Job site Indeed reports that machine learning engineer is in its top 10 AI jobs list. Between 2018 and 2019 the site’s analytics team identified the 10 positions with the highest percentage of job descriptions that include the keywords “artificial intelligence” or “machine learning.”
So, what does it take to become a machine learning engineer? To find out, we spoke with Kyle Hamlin, principal machine learning engineer at Sailthru, a provider of personalization software and services.
the study of algorithms and statistical models that systems use to perform tasks by relying on patterns and inference — is one of the highest demand skills in today’s technology job market.
It stands to reason, then, that machine learning engineers are in good place as far as career outlook. These professionals are sophisticated programmers who develop machines and systems that can learn and apply knowledge without specific direction, according to Study.com, an online education platform.
The focus of machine learning engineers goes beyond specifically programming machines to perform specific tasks, Study.com notes. They create programs that allow machines to take actions without being specifically directed to perform the tasks.
Such an engineer might work on the development of a self-driving vehicle, for example, or program services in such a way that they can attempt to identify a specific individual’s interests. “From customized news feeds to tailored web searches, machine learning engineers are contributing to the daily lives of many individuals and how they use technology,” Study.com said.
Among the job skills machine learning engineers need to have are computer programming (possibly including knowledge of specific languages such as C++ or Java), math, data analytics, data mining, knowledge of cloud applications, and the ability to communicate well.
Professional social networking site LinkedIn in its Most Promising Jobs listing for 2019 ranked machine learning engineer No. 15. The rankings are based on factors such as high salaries, a significant number of job openings, and year-over-year growth.
