Nothing at the top of my head.
5 technical interviews, including coding, statistics, and ML problems, research background, and etc. The statistics interview was about hypothesis testing and some SQL queries. The ML interviews were mainly about recommender systems and how you gene
Two phone screen discussions with the hiring manager, who was woefully inexperienced for his position. Four rounds at onsite included two behavioral with the EVP and a manager from a different team. I have a PhD in NLP and a stellar record. I had i
1. Intro call with a recruiter. 2. Take-home coding task (took ±1h): to parse the department, course number, year, and season from various strings, e.g., "CS111 Fall 2016", "CS:111 16 F", etc. 3. Tech interview including coding: the interviewer exp
5 technical interviews, including coding, statistics, and ML problems, research background, and etc. The statistics interview was about hypothesis testing and some SQL queries. The ML interviews were mainly about recommender systems and how you gene
Two phone screen discussions with the hiring manager, who was woefully inexperienced for his position. Four rounds at onsite included two behavioral with the EVP and a manager from a different team. I have a PhD in NLP and a stellar record. I had i
1. Intro call with a recruiter. 2. Take-home coding task (took ±1h): to parse the department, course number, year, and season from various strings, e.g., "CS111 Fall 2016", "CS:111 16 F", etc. 3. Tech interview including coding: the interviewer exp