Four rounds, they hire DEs in Paris but are flexible to Lausanne, CH. Each interview is followed up in a few days to 1 week max. Overall good but hadn’t prepared for MLOPs as was told it was a standard DE systems interview, thus rejected after round 3, definitely brush up on MLOPs. Round 1: HR Screen (30 mins) Talent Acquisition reaches out to get to know you, your interest for joining, skillset, and what the company is working towards. Round 2: Coding (60 mins) Use either Python or C++ in CoderPad. Standard DSA questions mainly around Binary Search Trees and Strings. Ask questions and clarify any assumptions. Round 3: Systems Design (90mins) Interview with two engineers (1 DE, 1 MLEng) to discuss your background and projects (30 mins) and then remaining 60 mins for systems interview. Make sure to know data ingestion in-depth and tech stack, and more importantly, MLOPs as the questions are heavily around being able to create data platforms for ML continous training (MLOPs). Make sure to clarify any FR & NFR requirements and take into account storage and performance costs/tradeoffs. Round 4: Coding + Systems Final round Similar to rounds 2 & 3 but now as an “onsite” interview. Usually this is remote unless you are in Paris (main HQ).