Alibaba

Algorithm Engineer Interview Experience - China

August 17, 2014

Neutral ExperienceNo Offer

Process

After passing the resume selection, the first step is an open quiz about basic CS curriculum knowledge with other applicants. This is followed by two onsite interviews:

one in the morning, covering background check, basic coding skills, and machine learning algorithms;

the other in the afternoon, combining technical problems with an HR interview.

Questions

Details of implementing a recommender system for an online shopping website.

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Interview Statistics

The following metrics were computed from 4 interview experiences for the Alibaba Algorithm Engineer role in China.

Success Rate

25%

Pass Rate

Alibaba's interview process for their Algorithm Engineer roles in China is very selective, failing most engineers who go through it.

Experience Rating

Positive75%

Neutral25%

Negative0%

Candidates reported having very good feelings for Alibaba's Algorithm Engineer interview process in China.

Alibaba Work Experiences

Good Pay, Too Many Changes

Algorithm Engineer • Current Employee

Hangzhou, Zhejiang, China

Pros: Excellent working environment and high salary.

Cons: There are so many changes.

Good Pay, Too Many Changes

Algorithm Engineer • Current Employee

Hangzhou, Zhejiang, China

Pros: Excellent working environment and high salary.

Cons: There are so many changes.

Good Team, Tough Hours

Algorithm Engineer • Former Employee

Hangzhou, Zhejiang, China

February 28, 2022

Pros: Good relationship with colleagues. Interesting and challenging tasks.

Cons: Working overtime (995 method). WLB is bad by all means.

Good Team, Tough Hours

Algorithm Engineer • Former Employee

Hangzhou, Zhejiang, China

February 28, 2022

Pros: Good relationship with colleagues. Interesting and challenging tasks.

Cons: Working overtime (995 method). WLB is bad by all means.

Too busy, no life

Algorithm Engineer • Former Employee

Hangzhou, Zhejiang, China

September 2, 2019

Pros: Nice people mostly. The salary is good, without considering the long working hours. Nice office environment and IT infrastructure.

Cons: 1. Work keeps coming, and you can never finish and rest. There is no life balance AT ALL. 2. Teams fight over projects and data, and communication costs are getting higher. 3. No respect for other people's lives and privacy. They keep buzzing you even after work or on holidays. 4. Promotions could be given to ass-kissers who are bad at their jobs. 5. No proper skill training for newcomers. Instead, there is two weeks of culture training, a good chance to make some friends, though.

Too busy, no life

Algorithm Engineer • Former Employee

Hangzhou, Zhejiang, China

September 2, 2019

Pros: Nice people mostly. The salary is good, without considering the long working hours. Nice office environment and IT infrastructure.

Cons: 1. Work keeps coming, and you can never finish and rest. There is no life balance AT ALL. 2. Teams fight over projects and data, and communication costs are getting higher. 3. No respect for other people's lives and privacy. They keep buzzing you even after work or on holidays. 4. Promotions could be given to ass-kissers who are bad at their jobs. 5. No proper skill training for newcomers. Instead, there is two weeks of culture training, a good chance to make some friends, though.

Good Pay, Too Many Changes

Algorithm Engineer • Current Employee

Hangzhou, Zhejiang, China

Pros: Excellent working environment and high salary.

Cons: There are so many changes.

4.0
Good Pay, Too Many Changes
Algorithm Engineer • Current Employee
Hangzhou, Zhejiang, China
May 8, 2020
Pros: Excellent working environment and high salary.
Cons: There are so many changes.

Good Team, Tough Hours

Algorithm Engineer • Former Employee

Hangzhou, Zhejiang, China

February 28, 2022

Pros: Good relationship with colleagues. Interesting and challenging tasks.

Cons: Working overtime (995 method). WLB is bad by all means.

4.0
Good Team, Tough Hours
Algorithm Engineer • Former Employee
Hangzhou, Zhejiang, China
February 28, 2022
Pros: Good relationship with colleagues. Interesting and challenging tasks.
Cons: Working overtime (995 method). WLB is bad by all means.

Too busy, no life

Algorithm Engineer • Former Employee

Hangzhou, Zhejiang, China

September 2, 2019

Pros: Nice people mostly. The salary is good, without considering the long working hours. Nice office environment and IT infrastructure.

Cons: 1. Work keeps coming, and you can never finish and rest. There is no life balance AT ALL. 2. Teams fight over projects and data, and communication costs are getting higher. 3. No respect for other people's lives and privacy. They keep buzzing you even after work or on holidays. 4. Promotions could be given to ass-kissers who are bad at their jobs. 5. No proper skill training for newcomers. Instead, there is two weeks of culture training, a good chance to make some friends, though.

2.0
Too busy, no life
Algorithm Engineer • Former Employee
Hangzhou, Zhejiang, China
September 2, 2019
Pros: Nice people mostly. The salary is good, without considering the long working hours. Nice office environment and IT infrastructure.
Cons: 1. Work keeps coming, and you can never finish and rest. There is no life balance AT ALL. 2. Teams fight over projects and data, and communication costs are getting higher. 3. No respect for other people's lives and privacy. They keep buzzing you even after work or on holidays. 4. Promotions could be given to ass-kissers who are bad at their jobs. 5. No proper skill training for newcomers. Instead, there is two weeks of culture training, a good chance to make some friends, though.

Alibaba Interview Questions

Path Sum IV

You are given a list of three-digit integers representing a binary tree's structure and node values. Calculate the sum of all paths from the root to the leaves in this tree.

Split Array with Equal Sum

Given an array of integers, determine if it's possible to split it into two non-empty subarrays with equal sums. The split point itself is not included in either subarray's sum.

Split Concatenated Strings

You are given a list of strings. Concatenate them to form a single string, then find the lexicographically largest string possible by splitting the concatenated string at any point and rejoining it.

StringsGreedy AlgorithmsArrays

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