It started with introducing yourself and then try to code a leet-code problem. At last you should have modified it in terms of memory and time complexity. after that you asked whether you had any questions
The process took 1 week. I interviewed at Borealis AI (Montreal, QC) in Sept 2025
Interview
It was in 2 parts, the first 30 minutes was basically just having a conversation about my past work experience related to machine learning. No behavioral or "Tell me about yourself" or "Why RBC Borealis". Purely a conversation about my past ML work at my Uni. Second portion was about 20 minutes. This was a technical portion in 2 stages, an easy Python assessment and a PR review assessment. The technical portion was comparable to an easy Leetcode, it was based around hashmaps. The PR review was basically him pasting some code and he asks what would you comment or change. Talked about variable names, edge case handling, error handling
Interview questions [1]
Question 1
Comparable LeetCode easy about hashmaps - basically given a sentence that has acronyms in it, return a string that contains the acronym and the full word given a dictionary of acronyms mapped to their full words ex( d= { 'kb' : "KiloByte"}). the purpose is to display what the acronym means to an LLM,
