Rakuten AI Research Scientist interview typically runs 1 round: online coding test. Timeline is unclear, and PhD candidates may be screened out before any interview stage.
$151K
Avg. Base Comp
$238K
Avg. Total Comp
4
Typical Rounds
1-2 weeks
Process Length
We’ve seen Rakuten’s AI Research Scientist process behave less like a research hiring funnel and more like a strict eligibility filter. In this candidate’s case, multiple applications were rejected immediately across both new graduate and mid-career paths, even after a recruiter recommendation and a friend referral. That pattern matters: the signal here is not just technical strength, but whether the application clears an opaque initial screen that may be heavily weighted toward internal criteria we can’t see from the outside.
A recurring theme is how little room there seems to be for a PhD profile to override that first pass. The candidate only reached an online coding test once, and never got to any deeper conversation about research, systems, or applied ML. That suggests Rakuten may be prioritizing very specific role-fit and profile matching before it ever evaluates the substance of a candidate’s work. We’ve also noticed the candidate’s comment that the rejection was once attributed to a system issue, which reinforces how inconsistent and hard to interpret the front door can feel.
For applicants, the non-obvious takeaway is that the challenge may be less about proving research depth and more about getting recognized as the exact kind of hire Rakuten is currently set up to consider. When a process feels this closed off, the strongest candidates are often the ones whose backgrounds align cleanly with the company’s current hiring template, not just those with impressive academic credentials.
Synthesized from 1 candidate report by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Candidates apply through either the new graduate program or the mid-career route. In the reported experience, the application was often rejected immediately, even for a PhD candidate, and this happened multiple times across different application paths.
The candidate also tried applying with a recruiter recommendation and later with a friend referral, but neither changed the result. Rakuten still returned the same rejection, which suggests that referrals did not guarantee progression past the first filter in this case.
On one occasion, Rakuten explained that the rejection was caused by a system issue, but the outcome did not change. This implies there may have been an automated or administrative screening step before any interview was scheduled.
This was the only stage the candidate actually reached. No interview followed it, and no details were shared about the test format, difficulty, or topics, only that it was the furthest point in the process for this role.
