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pineapple1985 发表于 2016-7-30 22:23:29 | 显示全部楼层 |阅读模式

2016(4-6月) 码农类 硕士 全职@Linkedin - 猎头 - Onsite |Failfresh grad应届毕业生


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1.Given  a k sorted link list, merge them into one sorted list. Code and explain the complexity.
2. Given a tournament tree, find the second smallest element. Code and explain the complexity.. visit for more.
3. Have a list of words, group words of anagram. Just need to discuss the idea and explain the complexity. No need to code.
This is about data mining questions. Derive the maximal likelihood estimator for the probability p  of getting head for tossing a coin. Ask me to explain lagrangian multiplier, proximal algorithm from a paper, l1 regularization and so on.. from:

R3: lunch

R4 data product design. On LinkedIn, connections of an user may have activities like changing a job, sharing an article, having new connection and so on. Was asked to create a metric so that you can rank those activities and display the top k, next top k activities to to a user. This is open ended questions. Discussion covered feature engineering, supervised learning, recommendation system and so on. Did not do well in this round.

R5: talked about background. Then was  asked to implement K mean clustering algorithm. Have to code a lot of details. Not allowed to use packages.

R6 with host manager. No technical questions. Mainly about background in PhD study, current job. Talked about Interests and why LinkedIn. I only asked a couple of questions at the end. Only lasted 50 mins for this round. Not sure whether its bad or not.. more info on

HR反馈, 第一轮coding比较好,第二轮 fine, 第四轮 产品设计跟第六轮host manager面不好。machine learning/data mining只懂理论方面的知识,缺少实际经验...到了面试就捉瞎




jy_121 发表于 2016-7-30 23:24:58 | 显示全部楼层
问下楼主是new grad吗,为什么还考了machine learning的知识?
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 楼主| pineapple1985 发表于 2016-7-31 01:26:20 | 显示全部楼层
jy_121 发表于 2016-7-30 23:24
问下楼主是new grad吗,为什么还考了machine learning的知识?

我也觉得这个不是我面经上看到的典型onsite. 这个码工是偏machine learning/data mining的。
好像是 Software Engineer--machine learning/data mining/data analysis
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abc_12345 发表于 2016-7-31 03:14:30 | 显示全部楼层
pineapple1985 发表于 2016-7-31 01:26
我也觉得这个不是我面经上看到的典型onsite. 这个码工是偏machine learning/data mining的。
好像是 Sof ...

请问lz是有ml背景吗 还是hr直接和你说是ml data mining track的?
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 楼主| pineapple1985 发表于 2016-7-31 03:29:31 来自手机 | 显示全部楼层
简历上有写ml的内容。职位也是data team的...
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jy_121 发表于 2016-7-31 12:43:21 | 显示全部楼层
pineapple1985 发表于 2016-7-31 01:26 鏉ユ簮涓浜.涓夊垎鍦拌鍧.
我也觉得这个不是我面经上看到的典型onsite. 这个码工是偏machine learning/data mining的。
好像是 Sof ...

好的 谢了
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say543 发表于 2016-10-17 04:25:14 | 显示全部楼层
tourment tree 是win tree已经建好 只要顺着win tree一直top down 比较left 就能找到second best player吗?
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