[Interview] @Appier, Machine Learning Scientist

20170714@Appier, Machine Learning Scientist

Interviewer: one RD in ML team

Interview Procedure:

1. Self introduction & QA
• my slides
• student entrepreneurship experience: 
• fin-tech domain knowledge
  (no any response)
• android development
  (no any response again)
• scrum management experience
  (no any response again)
• project experience related to deep learning
• online handwriting recognition application in VR
  (start to discuss!, QA!)
• traffic flow prediction using LSTM
  (discuss)
• SSD algorithm fine-tune project experience/ Deep Q-learing
  (...I should not put unfamiliar projects here...)
• Leadership
• kendo sport team leader/ backpacker experience/ international volunteer/ some small competitions/
  (no any response again)
2. Machine Learning Basics QA
• given you some data, users, favorite songs, historical data...features, how do you recommend new songs to them. what's model/ method will you use to fit/ predict data?
  (I really suck at this section, because I have few experiences on basic ML field such as HMM, SVM... etc, maybe it's time to plan learning those basics, hope that I could prepare well next time...)
3. Whiteboard Coding
• Given n classes please implement one function that return random selected classes id with distribution w as array .
  (very simple question to verify your programming skills)

Conclusion:

• Basically, the interviewer only focus on the technical part of my experience, which depress me a lot. seems like the company only appreciate people who is best in specific related field, and don't accept differences.
• The whole interview experience: HR is so kind, interviewer also not bad but the questions he asked are felt like free style, ask any questions came out to him (or maybe just I really suck at ML basics concept), which make me very nervous during interview....
• Appier is an appealing company, not sure if I have the opportunity to join them. waiting their rely.