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.
Build a model for speaker change detection.
The following metrics were computed from 1 interview experience for the Deepgram Machine Learning Researcher role.
Deepgram's interview process for their Machine Learning Researcher roles is extremely selective, failing the vast majority of engineers.
Candidates reported having very good feelings for Deepgram's Machine Learning Researcher interview process.