My experience interviewing with Huawei Vancouver for an ML research role: strong mismatch between how it was pitched and how it was evaluated [D]

My Experience Interviewing with Huawei Vancouver for an ML Research Role

I want to share my experience of being interviewed for a machine learning research role in Vancouver. The initial pitch was quite different from what I expected.

Initial Pitch and Expectations

• The recruiter presented the role as research-oriented, suggesting that they had reviewed my previous work and were looking forward to discussing specific projects and ideas.
• I prepared for a conversation centered around modeling techniques, potential research questions, and how well I fit into their team’s objectives.

Reality of the Interview

• The interview was more focused on trivia-style and coding-based questions rather than engaging in discussions about my projects or research ideas.
• I felt that the evaluation process did not align with what had been communicated beforehand, leading to a sense of being evaluated for something different from what I expected.

Confusion About Research Orientation

• The role described as research-oriented gave me an impression of a connection between research and publication. However, during the interview, this was not reflected in how they conducted their evaluation or in any recent publications they were proud to showcase.

Key Takeaways

• Ask clearly what aspects of your background are being evaluated during the interview.
• Understand if the role is more focused on technical skills or research engagement.
• Be clear about your expectations and how they align with the job description.

Has anyone else had a similar experience where a role described as research-oriented turned out to be something different?

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