Machine Learning Developer
Machine learning developers are computer programmers who work with artificial intelligence (AI) and deep learning (DL). Also known as machine learning engineers, they program machines to take actions on their own to identify specific user needs or interests. From self-driving cars to customized news feeds, these innovators, analyzers and creators are at the forefront of changing how we interact with technology.
Machine learning developers work with vast quantities of information and require exceptional data management skills and the ability to perform complex modeling on dynamic data sets. Their main responsibility is designing self-running software to automate predictive models. The software/machine “learns” whenever it performs an operation and uses those results to carry out future operations with a greater degree of accuracy – like the recommendation algorithms used by services like Netflix or Spotify.
So many fields are being impacted by machine learning, such as finance, education, and healthcare – where machine learning techniques are already being applied to critical areas like care variation reduction efforts and medical scan analysis. Machine learning developers need to have both software engineering and data science experience, and understand a wide range of coding languages. Most employers expect a master’s or doctoral degree in computer science, programming or mathematics.
Jobs for all computer and information research scientists are expected to grow 16% by 2028, but the demand for machine learning engineers is going to keep growing exponentially. A January 2020 report from Robert Half on the future of work and how technology will transform jobs reveals that 30% of surveyed U.S. managers said their company is currently using AI and machine learning (ML), and 53% expect to adopt these tools within the next three to five years.