Alibaba MLE Interview Questions (2026)

Questions reported from Alibaba machine learning engineer interviews. This bank tracks 7 questions asked at Alibaba (5 with free model answers). Practice them live with DeepOffer's AI voice interviewer.

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#47 Describe how byte-pair encoding works and where it breaks down (numbers, code, non-Latin scripts). ★
#49 Explain rotary position embeddings and how position interpolation or YaRN stretches context past the training length. ★
#51 Describe mixture-of-experts and how it grows model capacity without growing per-token compute. ★
#71 Explain Qwen's byte-level BPE with a ~151K vocabulary and single-character digits: why those choices and what trade-offs they carry.
#92 Explain RLVR and where it beats a learned reward model. ★
#94 Describe knowledge distillation and how you would build a strong small model from a large one.
#312 Implement an LRU cache with O(1) get/put, then add TTL. ★