A recruited contacted me via email. They set up a screening tech round to be followed by other interviews. I had to postpone the screening interview a few times due to personal reasons. They were very flexible about it and let me reschedule twice.
I applied online. I interviewed at Meta in Jan 2026
Interview
I applied for a Machine Learning Research Scientist (PhD) position. I did pretty well in the initial CodeSignal screening and passed all four test cases, but I did not move forward to the next stage. It seemed the role might have been leaning toward an internal candidate or my resume was not enough
Interview questions [1]
Question 1
The first screening was data structures and algorithms (DSA), with questions at a LeetCode easy to medium level (moslty medium). I did not feel constrained by time and was able to complete the questions without time pressure
I applied through a recruiter. The process took 2 months. I interviewed at Meta (Menlo Park, CA) in Feb 2025
Interview
A recruiter reached out to me and scheduled a technical screening interview, which consisted of two LeetCode easy/medium problems. After passing the screening, I moved on to the virtual onsite interviews, which included:
2 coding interviews (LeetCode medium/hard),
1 ML system design interview (focused on a binary classification problem), and
1 behavioral interview
The interviewers were friendly and supportive throughout the process.
I applied through a recruiter. The process took 2 months. I interviewed at Meta (San Francisco, CA) in Feb 2025
Interview
A recruiter contacted for a Machine Learning role related to software development. The interview process consisted of 1 screening round and then 4-5 final interviews.
Only did the screening round which had 2 medium difficulty string-based leetcode questions.
Interview questions [1]
Question 1
1. Find all missing numbers in an array. Append each to a string.
2. Find overall max length of repeating substrings in a string. Print first character of each repeating substring with max value.
