Job Description

Own the depth of our knowledge and retrieval infrastructure - ontology design, hybrid retrieval (dense/sparse/structured), information extraction, and knowledge quality systems. Translate research into production and shape the technical direction of a core system from day one. Requires research experience in IR, NLP, or knowledge representation, and a track record of shipped work. Team of six, high ownership, no fluff. Note: The posting also lists an additional ML/AI Engineer role; this entry covers Applied Research Engineer.