YOE (in tech): 8\nEducation: BS Math, top 10 undergrad\nLocation: Remote\n\nRecently, I had an hour long interview for a L6 (Senior) Applied Scientist (AS) role. It went well! Onsite interview is on the calendar.\n\nStructure of the interview:\n- Intros\n- Leadership Principles (LPs)\n- ML breadth\n\t- Feature engineering\n\t- Ground truths\n\t- Bias/variance tradeoff\n\t- Regularization\n- ML depth\n\t- NLP\n\nThe last 15 minutes of the interview involved one coding/data structures & algorithms question similar to https://leetcode.com/problems/two-sum/ with a slight twist at the end: emitting all unique pairs that added up to the target, given a list of ints and a target int that they sum to.\n\nExpectation was to solve in linear time.\n\nQuick follow up in last 5 minutes of the interview was to solve the same question but in the three-sum format, i.e., emit all triples of ints that add up to a specific target. This is most similar to the https://leetcode.com/problems/3sum/ question.\n\nSolved verbally rather than in code due to lack of implementation time.

YOE (in tech): 8\nEducation: BS Math, top 10 undergrad\nLocation: Remote\n\nRecently, I had an hour long interview for a L6 (Senior) Applied Scientist (AS) role