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AppZen interviews FAQs
Machine Learning/Deep Learning Data Scientist applicants have rated the interview process at AppZen with 2.5 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 49.1% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at AppZen as a Machine Learning/Deep Learning Data Scientist according to 2 Glassdoor interviews include:
Phone interview: 33%
Drug test: 17%
Presentation: 17%
Background check: 17%
One on one interview: 17%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at AppZen (Bloomington, IN) in Apr 2021
Interview
The interview included a direct call with the technical screeners, where they looked for both LeetCode/ DSA skills, as well as more ML/DL skills.
However, the difficulty level was quite low, and I was ble to answer them easily. It seemed they could have asked more questions, but really stuick to just 2-3 questions.
After answering the questions easily, I was later rejected citing 'lack of job experience' despite having enough relevant experience.
Don't reject candidates because you lack the knowledge.to test them appropriately.
Interview questions [1]
Question 1
Leetcode two-sum probel. (EASY)
Asked me to calculates size of CNN kernels based on desired outputs.
I applied online. I interviewed at AppZen (San Jose, CA) in Sep 2019
Interview
The interview process comprised of four steps. Screening with the recruiter, technical screening with the hiring manager, online coding test, and on-site interviews. The recruiter was very prompt and helpful in answering questions and providing overview of the company.
Interview questions covered a bunch of areas: NLP, deep learning, algorithms & data structures coding questions, and machine learning system design. The on-site interviews were more like technical deep-dive/open-ended discussions.
Interview questions [1]
Question 1
Present one of your data science projects (On-site)