Quantiphi Machine Learning Engineer interview experience

The first thing was straightforward introductions, and then the conversation anchored around my project. Most questions came directly out of what we discussed about my work, so it felt like the interviewer was trying to understand my thinking rather than throwing random puzzles.

The technical content included NLP fundamentals. I was asked about tokenization, lemmatization, and what different approaches could look like when building a chatbot model. The discussion stayed practical and tied back to how I would implement those ideas.

Difficulty felt average, but the tone made it easier to stay