
Reports for Huawei's AI Research Scientist role describe about three stages: an HR conversation, a research-focused technical round, and a final management, director or HR conversation. Coding appears in some loops but not others.
$150K
Avg. Base Comp
$210K
Avg. Total Comp
3 rounds
Typical Rounds
Not reported
Process Length
Reports for Huawei's AI Research Scientist role center on how well you can explain your own work. Interviewers asked candidates to walk through their CV and past projects, justify technical choices in their research, and describe the biggest research problem they had solved. One candidate was asked how large models such as LLMs or VLMs could help in their research area, even though it was not their focus. Another was asked about recent papers in the field and how those approaches connected to the research they wanted to pursue.
Coding is inconsistent. One candidate wrote matrix multiplication and stated its time complexity, and another described a Python and PyTorch coding interview grounded in practical implementation rather than abstract algorithm puzzles. Another reported no coding at all, just research conversation with the team lead and a team member. The candidate who accepted an offer described motivation and working-style conversations rather than technical exercises. It is worth asking the recruiter what format to expect.
Several reports describe roughly three stages: an HR or introductory conversation, a technical conversation with a team lead, manager or technical director, and a final management, director or HR discussion. One candidate who accepted an offer finished in about two weeks. Another saw gaps of weeks or months between rounds and had interviews scheduled with a day or two of notice. Keep a concise summary of your research ready, and follow up if things go quiet.
Prepare a specific answer for why Huawei, including what you know about its core values. Have examples of working under time pressure and handling a weakness constructively, along with concrete short- and long-term goals for what you want to build.
Synthesized from 10 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Candidates describe an HR conversation covering background and behavioral questions. One was asked why they wanted to leave their current role, why Huawei, and what they knew about its core values. Prepare a clear, consistent Huawei-specific answer.
Technical rounds with a team lead, manager or technical director focused on research experience. Candidates reported questions on their CV, past projects and the biggest research problem solved. Others were asked about recent papers in the field, or how LLMs and VLMs could apply to their area.
Reported coding tasks included matrix multiplication with its time complexity, and Python and PyTorch programming tasks grounded in practical implementation. Another candidate described research-only conversations with no coding. Ask the recruiter what to expect and practice explaining your implementation.
Final conversations varied. One candidate had a director-level discussion of concrete short- and long-term goals, and the accepted-offer report described a brief management fit and motivation check. Another candidate's last round was with HR. Have concrete goals ready.