Machine Learning Engineer applicants have rated the interview process at Applied Intuition with 2.8 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 43.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 7 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Applied Intuition overall takes an average of 20 days.
Common stages of the interview process at Applied Intuition as a Machine Learning Engineer according to 4 Glassdoor interviews include:
Phone interview: 50%
Skills test: 50%
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I interviewed at Applied Intuition (Mountain View, CA)
Interview
The recruiter reached out to me through LinkedIn. I had a first-round interview with the hiring manager, which was a very nice discussion, but I was ghosted afterwards.
About a month and a half later, the recruiter reached out again. I had a second interview on Python coding. Simple model training code debugging. The interviewer said I had passed and that the recruiter would contact me about the next steps, but I was ghosted again.
I applied online. I interviewed at Applied Intuition
Interview
Der Ablauf bestand aus zwei Runden.
Zuerst hatte ich ein etwa 30-minütiges Online-Gespräch mit HR, in dem mein beruflicher Hintergrund, verwendete Programmiersprachen und Machine-Learning-Frameworks besprochen wurden. Es gab keine technischen Fragen, das Gespräch war angenehm und unkompliziert.
In der zweiten Runde folgte ein technisches Interview (ca. 45 Minuten) mit einer Programmieraufgabe auf mittlerem Schwierigkeitsniveau (ähnlich LeetCode Medium). Dabei musste ich meinen Lösungsweg per Bildschirmfreigabe zeigen. Der Interviewer war unterstützend und gab hilfreiche Hinweise. Leider bin ich danach nicht in die nächste Runde gekommen.
Interview questions [1]
Question 1
Die wichtigste Aufgabe war eine Programmierfrage auf mittlerem Schwierigkeitsgrad (vergleichbar mit LeetCode), bei der ich live codieren und meinen Lösungsansatz erklären musste. Der Fokus lag auf effizienten Algorithmen, klarer Struktur und nachvollziehbarer Denkweise.
The interview process included a coding round where the interviewer offered hints to help reach the solution. It was a smooth and engaging experience, making the overall process enjoyable and insightful.
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