Canva interview questions

The technical interview process felt poorly calibrated and inconsistently framed. The main issue was not that the questions were difficult, but that several rounds seemed to test a different skill set than what was communicated beforehand. In practice, it often felt unclear what the primary evaluation criteria actually were. Some rounds started as if they were focused coding exercises, but the expected discussion appeared to extend into broader design, scaling, or product-style considerations without that scope being made explicit early on. That made it difficult to judge how much time to spend on core implementation versus higher-level tradeoff discussion. The result was a process that felt noisy rather than rigorous.

HR screen where they asked about experience particularly if you have worked with TB or PB data processing pipelines. Then an AI programming interview where you need to remove gender bias from some recommendations. After this it's 4 more 1 hour interviews. ML System Design, ML System review, Pair programming without AI and a behavioural interview. I also met an Engineering Manager to discuss the role which he described as primarily a software engineering role and that they don't do any model training. Each interview only had one interview which in one instance the interviewer had pretty poor communication skills that caused confusion and wasted quite a bit of time. It also means that the interview outcome was subject to bias as there were no other interviewers to align with. Most disappointing though, there was no meaningful feedback provided that I could take away from the experience and build on.