Guides
AI/ML interview prep guides
Notes on the gaps that actually show up in AI/ML interviews, written from what Assessmentr’s diagnostic sees.
Reading about a gap is not the same as finding yours. Take the AI engineer assessment and get one traced back to something you said.
Interview prep
AI/ML interview blind spots: the questions you don’t know to ask yourself
Most prep only tests what you already thought to review. This is why that leaves gaps, and how to find them before an interviewer does.
System design
LLM system design interview questions: KV cache, attention, and serving tradeoffs
KV cache, attention variants, and inference cost are where LLM system design interviews go deep. Here is the chain of reasoning interviewers follow.
Readiness
How to know if you’re actually ready for an ML interview
A confidence score does not tell you what you are actually ready for. Here is what a real readiness signal looks like instead.
Comparison
Free LLM chat vs. structured ML interview prep: what each catches (and misses)
Asking ChatGPT to quiz you is not the same as a structured diagnostic. Here is what each approach actually catches, and what it misses.