Some aspects of visual effects production are ideally suited to using machine learning technology. Whether it's coming from the digital cameras on set or from motion capture session or other sources, huge amounts of data are captured during the production of a movie. Models are built to modify this data or create new effects from it. Instead of building these models by hand, can machine learning systems be trained to do the same thing? We'll present active research projects where we are using machine learning to either accelerate a process in visual effects or allow the artists to create novel visual effects. This is definitely a work in progress report, some of the techniques show promise but are not fully developed at this time.