Status: Student, MS CS, Top 10 CS Schools in US
Position: Applied Research Intern
Location: San Jose, CA

Resume Screening
I applied through their website and I went through the university recruiting program. I think the hiring manager for the applied research intern position went through the resumes and selected candidates for interviews. After that screening, I was invited to the final stage: video interview (because of COVID I believe).

Video Interview
It was a 60 minute interview with the hiring manager and two other engineers on the team. 48 hours before the interview I was given a task and asked to present the task in a 20 minute presentation during the interview. I was also asked to share all the files via a github repo.

Task: Given women's e-commerce Kaggle dataset, predict the reviewer’s birth decade (90’s, 80’s, 00’s, etc) using only text features.

Details:
Prepare a 20 minutes presentation that shows the complete machine learning engineering process. From data exploration to training, evaluation and how would you scale your solution for billions of items.

After I gave the presentation, they asked me several questions regarding the task. Mostly, about my approach and how I can improve. There were no questions about my experiences or questions from my resume.

Overall Thoughts:

• The interviewers were nice overall, but they really delve into your code and reasoning so don't expect it to be easy.
• I wish I had more time to review/refresh basic concepts about ML. I had forgotten many things over time.
• If you've worked on NLP projects before and you have a strong foundation in ML, it should be straightforward enough.