Feed, search and job-matching ranking systems at massive scale
Interview in a few hours? A quick sprint for LinkedIn
AI in interviews
No AI in live interviews unless the recruiting team tells you in advance that it's part of the format, and in coding or specialized assessments only where the interviewer or module allows it. Using AI to prepare is encouraged, and you should expect follow-up questions on anything you submit.
Typical interview loop
How LinkedIn usually runs it for applied AI and LLM engineer roles.
- Focus: Qualifications and motivation
Recruiter conversation
A recruiter call, sometimes followed by a video chat with the hiring manager or a team member.
- Focus: Coding fundamentals
Technical screen
A 45-60 minute shared-editor session with some knowledge questions and one or two coding problems.
- Focus: Coding, judging AI output
Onsite coding, including AI-assisted coding
Algorithm coding rounds, reportedly including one where the platform's AI assistant is on and you defend and test what it suggests.
- Focus: ML fundamentals and evaluation
Onsite ML round
An hour on ML concepts and implementation, tied to products like feed, recommendations and ads ranking.
- Focus: Ranking system design
Onsite system design
A candidate-led design round, for ML roles typically an end-to-end ranking or recommendation system.
- Focus: Values and leadership
Hiring manager behavioral
A behavioral conversation with the hiring manager about collaboration and past impact.
How it weights your plan
Selecting LinkedIn when you build a plan multiplies each topic’s priority score:
Official prep and resources
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