Background:
3+ YOE as Data Scientist/MLE
B.Tech from IIT (non-circuital branch)

Interview Process

Hiring Manager Round (Eliminative)

Discussion around past projects, Python coding, and questions on NLP & LLMs. Transformer arhcitecture explanation

Full Loop (3 Rounds)

Round 1 — NLP + LLMs (Deep Dive)

Word embeddings, why word embeddings?, transformers architecture, topic modeling (since I have worked on it), aspect extraction, etc

Round 2 — Coding (ML + DSA)

One question involved computing text similarity. And, one graph based question - medium level

Round 3 — ML Fundamentals + Applied ML + NLP
Covered bias-variance tradeoff, probability, regularization, RNNs, attention mechanisms, seq2seq , etc

Compensation details : https://leetcode.com/discuss/post/7277000/expedia-ml-scientist-iii-offer-breakdown-iivf/