Status: 2.5 years experience
Position: SDE2 at a top tech company
Location: Seattle

Linkedin onsite:

ML round-1:
Open-ended problem around a Linkedin product. Lots of discussion around feature engineering. Took me a while to just understand the problem. Wasted a lot of time there.
Then started thinking about different use-cases and strategies around data collection and data preparation.
Finally discussion around model deployment and feedback loop

ML round-2:

• This required some coding along with dicussion. The problem was a modification of binary search problem (not seen on Linkedin).
• Modification of https://leetcode.com/problems/random-pick-with-weight/
• Something related to large scale random sampling. Had no clue how to do it.

ML round-3:

• Derive a modified popular ML theorem. Had a hard time understanding the problem. Derivation took time too.
• Real-world example and dicussion around possible issues one can face as a data scientist. Again, took a long time to fully understand the problem, as this was outside my area of expertise.

ML round-4:

• This was with an engineering manager. Discussion around past projects, experience, issues faced, conflicts resolved etc.
• Open ended problem related to the team engineering manager was from. Trade-off etc.

Coding round-5:

• Detect cycle in an undirected graph
• Detect cycle in a directed graph
• https://leetcode.com/problems/permutation-in-string/

Straightforward, no issues here.

Result:
Received an offer but down-level from Senior Software Engineer to Software Engineer. Hence, passed the offer.