Scalable matching based on high-dimensional data

A tangible, non-transitory, machine-readable medium storing instructions that when executed effectuate operations comprising:

• obtaining, by a computing system, job description data from one or more sources comprising job boards, company databases, and social media profiles;
• obtaining, by the computing system, applicant information comprising resume data and user-provided responses;
• parsing, by the computing system, the applicant information and the job description data to extract candidate and job attributes;
• constructing, by the computing system, respective vector representations of the candidate and job attributes using one or more embedding models trained to represent textual inputs in a high-dimensional vector space, the one or more embedding models comprising word embedding models or transformer-based language models;
• determining, by the computing system, degrees of similarity between the vector representations of the candidate and job attributes;
• and
• constructing, by the computing system, an output comprising ranked recommendation for at least one of a set of job openings ranked for a given applicant or a set of candidates ranked for a given job description, based on the determined similarity.