Recent methods for demographic history inference have achieved good results, avoiding the complexity of raw genomic data by summarizing them into handcrafted features called expert statistics. Here we introduce a new approach that takes as input the variant sites found within a sample of individuals from the same population, and infers demographic descriptor values without relying on these predefined expert statistics. By letting our model choose how to handle raw data and learn its own way to embed them, we were able to outperform a method frequently used by geneticists for the inference of two demographic descriptor values while using less data.