Meta E6 ML-SWE / Downlevel
Summary
I interviewed for an E6 ML-SWE role at Meta, encompassing multiple coding, system design, and behavioral rounds. Although I received a downleveled offer for E5, I ultimately declined it due to other compelling opportunities.
Full Experience
Coding Round 1
This round focused on algorithmic problem-solving. I was asked:
- The "K Closest Points to Origin" problem. I had to find the K points closest to the origin (0,0) from a given set of points.
- A variant of the "Subarray Sum Equals K" problem. Beyond just finding if a sum exists, I also had to return the length of the largest sub-sequence that sums to K.
Coding Round 2
The second coding round also tested my data structure and algorithm skills:
- The "Kth Largest Element in an Array" problem, with a variant where I needed to return the index of the element instead of the element's value itself.
- A unique, non-LeetCode problem. I was tasked with designing a system to issue tokens from a 16-bit integer space. The core constraint was that once a token is returned, the smallest available token should be re-issued next. I also needed to consider and handle various edge cases.
System Design Round
This round involved two significant system design challenges:
- Designing the entire end-to-end system for Instagram's video feed.
- Designing the feed ranking system for Facebook, with a specific emphasis on the second-stage ranker component.
Behavioral Round
The behavioral interview covered common topics such as conflict resolution, handling situations requiring pivoting, and other leadership principles.
Outcome
After completing all rounds, I received feedback that I was downleveled to an E5 offer. However, as I had other strong opportunities in both tech and finance, I decided to pass on the offer from Meta.
Interview Questions (6)
Given a 16-bit integer, I had to design a system to issue a token. The constraint was that once a token is returned, the smallest available token should be issued the next time. I also had to handle various edge cases.
Design an end-to-end system for Instagram's video feed.
Design the feed ranking system for Facebook, with a specific focus on the second-stage ranker.