My experience interviewing with Huawei Vancouver for an ML research role: strong mismatch between how it was pitched and how it was evaluated [D]
Candidate lured by research pitch, then faced a narrow, one-sided quiz.
Deep Dive
A Reddit user shares a frustrating interview for a Vancouver ML role that was presented as research-oriented. Despite being told to discuss their projects, the interview focused heavily on trivia-style and coding questions with little engagement with their research or problem-solving approach. The team also couldn't name recent publications they were proud of. The mismatch wasted the candidate's time and highlights a gap between how ML research roles are framed and how interviews are actually conducted.
Key Points
- Role was pitched as research-oriented but interview focused on trivia and coding, not project discussion.
- The team could not name recent publications when asked, raising doubts about the role's research nature.
- The candidate advises asking explicitly about interview focus and team research activity before proceeding.
Why It Matters
Exposes a common bait-and-switch in AI hiring that wastes top talent’s time and erodes trust in job postings.