First round was a non-technical but complete assessment of behavioural scenarios, including a few questions on the candidate's long-term professional ambitions, as well as inquisitions on your general knowledge on AI as well as on the company itself. Second round was a technical and knowledge-based interview on many scientific concepts, testing the candidates on both their understanding of classical ML algorithms as well as their knowledge on more recent developments. Your problem solving approach may also be tested through a live-coding challenge. Final round was a technical homework assignment to be completed in a week, and later presented to the team, followed by a Q&A to understand your approach and decisions.
