We introduce a multiscale Monte Carlo algorithm to simulate simple fluids. The probability of an update follows a power law distribution in its length scale. The collective motion of clusters of particles requires generalization of the Metropolis update rule to impose detailed balance. We apply the method to the simulation of a Lennard-Jones fluid and show substantial improvements in efficiency over conventional methods, eliminating hydrodynamic slowing down.