Systems and methods for implementing a hybrid machine vision model to optimize performance of a machine vision job

An example method includes: (a) receiving, at a machine vision job including one or more machine vision tools, a set of training images; (b) generating, by the machine vision tools, prediction values corresponding to the set of training images; (c) inputting the prediction values into a machine learning (ML) model configured to receive prediction values and output a change value corresponding to the machine vision job; (d) adjusting the machine vision job based on the change value to improve performance of the machine vision job; (e) iteratively performing steps (a)-(e) until the ML model determines that the prediction values satisfy a prediction threshold; and executing, on a machine vision camera, the machine vision job to analyze a run-time image of a target object and output an inspection result.