Stand Out from the Crowd: Doing Meaningful Work as a Machine Learning Engineer - PROPRIUS

In the mad rush to master technology and push their products forward, huge tech companies have been hiring many of the most qualified engineers to work in the cutting-edge field of machine learning. This may sound discouraging to aspiring machine learning engineers, but hope is not lost; it is still possible to do great work as a machine learning engineer and avoiding the tech giants grants you a little more freedom than you might think. Here are tips for doing great work and finding purpose as a machine learning engineer. Knowledge Isn't Always Happiness: A Doctorate is Not Necessary While achieving a PhD is a fantastic feat of willpower and knowledge, getting one is not necessary for becoming a great machine learning engineer. The truth is that many doctoral research projects in machine learning focus on improving algorithms, which is great in the long run but not always practical in a business setting.