SoundHound Machine Learning Engineer Data Scientist interview questions
based on 1 rating - Updated Dec 12, 2018
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How others got an interview
100%
Applied online
Applied online
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1 interviews
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Machine Learning Engineer Data Scientist applicants have rated the interview process at SoundHound with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 48.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer Data Scientist roles take an average of 14 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at SoundHound overall takes an average of 24 days.
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I applied online. The process took 2 weeks. I interviewed at SoundHound in Oct 2018
Interview
The overall process was very smooth. Everyone that I was in contact with was super friendly and accommodating. First step was a quick phone call with the recruiter - there were barely any technical questions asked during that initial interview, mostly focused on what my interests are and whether or not they were aligned with the company. Next rounds were going to be 1) technical coding round, 2) technical ML round and 3) onsite. I did not unfortunately make it past round 2. In the technical coding round, I was asked a lot of questions about the Soundhound and Hound app and their features and my thoughts on the apps, etc, followed by a leetcode hard question. The response after the interview was pretty quick as well. Throughout the whole process, there was major emphasis on the candidate's knowledge of their apps and their functionalities.