There is great potential to apply machine learning in the area of numerical
lattice quantum field theory, but full exploitation of that potential will
require new strategies. In this white paper for the Snowmass community planning
process, we discuss the unique requirements of machine learning for lattice
quantum field theory research and outline what is needed to enable exploration
and deployment of this approach in the future.