How to Become a Machine Learning Engineer: 3 Pros Share Career Insights

They're vast or complex or both, and we can't analyze them without help. Specifically, help from self-improving machine learning algorithms. These algorithms can glean "insights into how the world works that a person wouldn't be able to see, because they're [too] abstract or [too] fine-grained," says Meghan Hickey, a Boston-based machine learning engineer at Pryon. That can mean picking up on patterns humans can't see -- like learning to spot cancer symptoms invisible to the human eye -- or performing human analysis at nonhuman speeds. The company makes a data analytics platform called Unify that clients often use to integrate overlapping datasets. For example, if two merging banks share some clients, they want to make sure those clients aren't double-entered in their respective databases.