1p3a Experience · May 2026 · San Francisco

fulltime machine learning onsite interview experience at glean sf office

MLE Onsite newgrad
2 upvotes 2 replies

Interview Experience

过了店面之后去了onsite在SF office。感觉里面engineer都很nice比较年轻,recruiter也很棒,整个experience十分positive。最后没拿到offer,具体没说原因和feedback。 ML Design 60min:design一个employee-employee distance的system。 AI Assignment 75min:跟ai一起做个crawler,crawl Wikipedia。first character没出现的先crawl,比如从Google开始,G开头的title的website就先skip,26个字母都crawl完了,random crawl其他website。有rate limit的限制。这个需要自己用cursor或者claude code,感觉自己cursor的plan选的不好,花了很多时间在understand cursor写的random code里面。 coding 60min:地里面经,车站题,以dict of (station, time) -> train_id开始bfs,可以选择下车换乘or...

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About Glean Interview Reports

This question was reported by a candidate who interviewed at Glean. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.

Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Glean are the higher-signal extractions to take from this report.

For broader preparation context, the Glean interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.

How To Practice This Type of Question

Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.

Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Glean reports consistently are the ones worth investing in; one-off niche problems are not.

During Your Glean Round

Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.

The single most predictive failure mode in Glean reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.