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Machine Learning Researcher Interview Experience

April 9, 2022
Positive ExperienceNo Offer

Process

I applied through an employee referral. The process took 2 weeks.

My process started with a referral which was followed up on quickly by the recruiting team for a half hour screening call. After the recruiter call I had a half hour meeting/interview with a researcher on the team covering background, prior projects and touching on some basic ML concepts. The next step was a take home task. I thought that the task was relatively vague and I found it difficult to make progress as I did not have prior experience working with audio data.

After the take home came a 45 minute meeting with two team members to talk about the take home task. About 3 days after this interview I got a call saying that I didn't get an offer. This was not surprising given my take home and overall I was happy with the process as it was both prompt and professional. In hindsight I would recommend taking time to thoroughly study both concepts but particularly the open source software relevant to ASR before applying for the internship.

Questions

Build a model for speaker change detection.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Deepgram Machine Learning Researcher role.

Success Rate

0%
Pass Rate

Deepgram's interview process for their Machine Learning Researcher roles is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive100%
Neutral0%
Negative0%

Candidates reported having very good feelings for Deepgram's Machine Learning Researcher interview process.

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