1. Online assessment- includes basic ML fundamentals like assumptions of linear regression, random forests, etc 2. 3 technical rounds- problem solving (data science case study), ML round (discuss ML projects and ML deep dive based on specific hypothetical scenarios on how to approach a problem, coding round (DSA)

I applied online and got the recruiter call within a Week. Got the coding assessment in the evening after the recruiter call and the assessment had some normal ML questions with 2 coding questions based on Data Science. Then they scheduled the behavioral round (technical walkthrough round) with the senior manager and asked about my experience and resume walkthrough. There were some tough questions on Reinforcement Learning and LLMs. Cleared the round. Later they scheduled 3 back-to-back technical rounds (2 technical, 1 coding). 1st Technical: Basic ML, Reinforcement Learning, RAG, LLM; 2nd Technical: ML System Engineering Scenario based question; 3rd Coding: 2 codes with Leetcode Semi-Hard and Hard difficulties. All went well but I got rejected after the 3 round without any particular reasoning and received an auto-generated rejection email. There is a really High Bar that is set to get into this company and mostly they consider PhD candidates with relevant research and experience.