Founding Machine Learning Engineer

We’re hiring our first ML engineer to lead ML and applied AI across Centralize, starting with our relationship graph: who knows who, who trusts who, and how it shifts deal by deal. You’ll report to Will Wang, our co-founder and CTO, and build a new research arm from the ground floor. You’ll set the research agenda, own entire systems end to end rather than one slice of a ranking model, and grow into leading the ML team as it forms around you. Your models learn from every customer deal and ship within weeks, and we’ll publish what we find, with our first white papers targeted for Q1 2027.

This is not a traditional post-training research role. The work is recommender systems, knowledge graphs, and learning from past deals, applied in production. Classical ML, recsys, ranking, and graph backgrounds are all good fits, and you’ll flex into applied AI when the problem calls for it.

• Set the research agenda for Centralize’s trust graph.
• Design and build the layered knowledge graph and the recommendation systems on top of it: embeddings, retrieval, ranking, and link prediction that improve with every deal, signal, and outcome.