Prepare for and practice interview questions from Tencent.

Tencent Interview Questions

Tencent Interview Guides

Data Structures & Algorithms

Compute Deviation

Given two sorted lists, write a function to merge them into one sorted list.

Merge Sorted Lists

Find Bigrams

Write a function friendship_timeline to generate an output that lists the pairs of friends with their corresponding timestamps of the friendship beginning and then the timestamp of the friendship ending. 

Friendship Timeline

Write a function to select only the rows where the student's favorite color is green or red and their grade is above 90.

Good Grades and Favorite Colors

Write a query to select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.

Employee Salaries

Select the 2nd highest salary in the engineering department

2nd Highest Salary

Write a SQL query to create a histogram of the number of comments per user in the month of January 2020.

Comments Histogram

Write a query that returns all neighborhoods that have 0 users.

Empty Neighborhoods

Rolling Bank Transactions

Product Sense & Metrics

How would you investigate a decline in the average number of comments per user?

Decreasing Comments

Promoting Instagram

Threaded Comments

Group Success

WAU vs Open Rates

Machine Learning

Booking Regression

Bank Fraud Model

FAQ Matching

Type-ahead Search

Loan Model

Analytics

Write a query to create a metric that can validate and rank the queries by their search result precision.

Search Ratings

Write a query to get the distribution of the number of conversations created by each user by day in the year 2020.

Conversations Distribution

What metrics would you use to determine the value of each marketing channel?

Marketing Channel Metrics

Write a SQL query to find the average number of right swipes for different ranking algorithms.

Swipe Precision

How would you measure the success of an online marketplace introducing an audio chat feature given a dataset of their usage?

Audio Chat Success

When an interviewer asks a question along the lines of:

<ul>
<li>What would your current manager say about you? What constructive criticisms might he give?</li>
<li>What are your three biggest strengths and weaknesses you have identified in yourself?</li>
</ul>

How would you respond?

When asked about your strengths in an interview, what is an effective way to respond?

When asked about your strengths in an interview, what is an effective way to respond?

Your Strengths and Weaknesses I

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Your Strengths and Weaknesses II

What do you tell an interviewer when they ask you what your strengths and weaknesses are?

Your Strengths and Weaknesses

Brainteasers

When an interviewer asks you a question along the lines of:

<ul>
<li>Why did you apply to our company?</li>
<li>What are you looking for in your next job?</li>
<li>What makes you a good fit for our company?</li>
</ul>

How should you respond?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

Why Do You Want to Work With Us I

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

Why Do You Want to Work With Us II

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

Why Do You Want to Work With Us III

How would you answer when an Interviewer asks why you applied to their company?

Why Do You Want to Work With Us

How would you explain what a p-value is to someone who is not technical?

What does a p-value in a statistical test represent?

What does a p-value in a statistical test represent?

P-value to a Layman I

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

P-value to a Layman II

P-value to a Layman

Statistics

Describe a data project you worked on. What were some of the challenges you faced?

Describing a data project and its challenges

Hurdles In Data Projects

Write a SQL query to select the 2nd highest salary in the engineering department.

Note: If more than one person shares the highest salary, the query should select the next highest salary.

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Let’s say that you’re training a classification model.

How would you combat overfitting when building tree-based models?

Let's say that you're training a classification model.   How would you combat overfitting when building tree-based models?

Overfit Avoidance

How would you handle the data preparation for building a machine learning model using imbalanced data?

Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?

Strategically resolving misaligned expectations with stakeholders for a successful project outcome

Stakeholder Communication

Imagine you are asked to build a machine learning model to decide new loan approvals for a
financial firm. You ask the data department in the company for a subset of data to get started
working on the problem. The data includes different features about applicants such as age,
occupation, zip code, height, number of children, favorite color, etc. You decide to build
multiple machine learning models to test out different ideas before settling on the best one.

How would you explain the bias-variance tradeoff with regards to
building and choosing a model to use?

Bias vs. Variance Tradeoff

How does random forest generate the forest? Additionally, why would we use it over other algorithms such as logistic regression?

What happens when you average the output on multiple decision trees?

What happens when you average the output on multiple decision trees?

Average Trees

Random Forest Explanation

Let’s say that you work at a B2B SAAS company that’s interested in testing the pricing of different levels of subscriptions.

Your project manager comes to you and asks you to run a two-week-long A/B test to test an increase in pricing.

How would you approach designing this test? How would you determine whether the increase in pricing is a good business decision?

Testing Price Increase

A/B Testing

Tell me about a project in which you had to clean and organize a large dataset.

Describing a real-world data cleaning and organization project

Data Cleaning Experiences

Data Pipelines

Create a class named <code>LRUCache</code> that implements the behavior expected of a Least Recently Used (LRU) Cache.

The <code>LRUCache</code> class implements the following methods:

<ul>
<li><code>__init__(self, capacity)</code> - initializes the object and takes in a capacity parameter specifying the maximum capacity of the cache.</li>
<li><code>get_if_exists(self, key) -&gt; Any|None</code> - gets a value based on a key. If the key exists, returns the associated value. If the key has expired or did not exist in the first place, returns <code>None</code>.</li>
<li><code>put(self, key, value)</code> - places a value inside the cache. In the case wherein the cache is full, invalidates the least recently used element. When two keys collide, the older value should be invalidated in place of the new one.</li>
</ul>

Example:

<pre tabindex="0" class="chroma"><code>cache = LRUCache(2)
cache.put(&#34;sample&#34;, 55)
cache.get_if_exists(&#34;sample&#34;) # returns 55
cache.get_if_exists(&#34;key&#34;) # returns None
cache.put(&#34;hello&#34;, 10) 
cache.put(&#34;sample&#34;, 9)
cache.put(&#34;world&#34;, 5)
cache.get_if_exists(&#34;hello&#34;) # returns None
</code></pre>

Notes:

<ul>
<li>It is assured that the value in the <code>put</code> method will never receive a <code>None</code> value. Moreover, it is assured that the capacity will always be &gt; 0.</li>

<li>All operations must be O(1).</li>

<li>Aside from Python’s standard dictionary implementation (<code>{}</code>), you may not use any other built-in data structures.</li>
</ul>

LRU Cache 1

A team wants to A/B test multiple different changes through a sign-up funnel.

For example, on a page, a button is currently red and at the top of the page. They want to see if changing a button from red to blue and/or from the top of the page to the bottom of the page will increase click-through.

How would you set up this test?

Your team wants to run an AB test on the color (red or blue) and position (top/bottom of the page) of a button that links to a promotion.

How many different variants of the test should you run to see the effect that a red button has on the bottom of the page, if currently the button is blue and on the top of the page.

Your team wants to run an AB test on the color (red or blue) and position (top/bottom of the page) of a button that links to a promotion.

How many different variants of the test should you run to see the effect that a red button has on the bottom of the page, if currently the button is blue and on the top of the page.

A/B Test Variants

Button AB Test

Let’s say we want to launch a re-design of a landing page to improve the click-through rate. We can do this by implementing an AB test.
Given that we launch an AB test, how would you infer if the results of the click-through rate were statistically significant or not?

How can you accurately conclude if the results of an A/B test, conducted to evaluate the effectiveness of a landing page redesign, are statistically significant?

How can you accurately conclude if the results of an A/B test, conducted to evaluate the effectiveness of a landing page redesign, are statistically significant?

Statistically Significant Test

Precisely ascertain whether the outcomes of an A/B test, executed to assess the impact of a landing page redesign, exhibit statistical significance.

Given an array and a target integer, write a function <code>sum_pair_indices</code> that returns the indices of two integers in the array that add up to the target integer. If not found, just return an empty list.

Note: Can you do it on \(O(n)\) time?

Note: Even though there could be many solutions, only one needs to be returned.

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>array = [1 2 3 4] 
target = 5 
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def sum_pair_indices(array, target) -&gt; [0 3] or [1 2]
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>array = [3]
target = 6 
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>Do NOT return [0 0] as you can&#39;t use an index twice.
</code></pre>

Given an array and a target integer, write a function that returns the indices of two integers in the array that add up to the target integer.

Target Indices

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service in addition that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

How would we build this model?

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Let's say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Let’s say you work at Allstate. Allstate is running <code>N</code> online ads right now. The table <code>ads</code> contains all those ads, ranked by popularity via the <code>id</code> column (e.g., the entry with <code>id = 1</code> is the most popular, etc.).

Create a subquery or common table expression named <code>top_ads</code> containing the top 3 ads (by popularity) and return the number of rows that would result from the following operations

<ol>
<li><code>ads INNER JOIN top_ads</code></li>
<li><code>ads LEFT JOIN top_ads</code></li>
<li><code>ads RIGHT JOIN top_ads</code></li>
<li><code>ads CROSS JOIN top_ads</code></li>
</ol>

Note: Please make the <code>join_type</code> column in your output have the values <code>inner_join</code>, <code>left_join</code>, etc. for each of their respective join types

Note: Please return only one query with each number in a different row

Example:

Input:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>join_type</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>number_of_rows</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Size of Joins

<h1>Binary Tree Validation</h1>

You are given the root of a binary tree. You need to determine if it is a valid binary search tree (BST).

A valid BST is defined as follows:

<ul>
<li>The left subtree of a node contains only nodes with values less than or equal to the node’s value.</li>
<li>The right subtree of a node contains only nodes with values greater than or equal to the node’s value.</li>
<li>Both the left and right subtrees must also be binary search trees.</li>
</ul>

Given the function <code>def is_valid_bst(root: Node) -&gt; bool:</code>, return True if the binary tree is a valid BST. Otherwise, return False.

<h3>Example:</h3>

Input:

<img src="/s3/questions/9664817c-3e12-4a40-9236-8382b13f55a0.png" alt="image"/>Converted Binary Tree.png

Output:

<pre tabindex="0" class="chroma"><code>def is_valid_bst(Node(3)) -&gt; True
</code></pre>

Given the root node, verify if a binary search tree is valid or not.

Binary Tree Validation

Let’s say you are working on Google Docs. A product manager comes to you and asks how the product is doing. 

What are the top five metrics that you would start tracking to understand the health of Google Docs?

Docs Metrics

The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding ones, usually starting with 0 and 1. It is often used in algorithm examples, and is defined by the following formula: F(n) = F(n-1) + F(n-2), with F(0) = 0 and F(1) = 1.

Your task is to implement the Fibonacci algorithm in three different methods:
1. Recursively
2. Iteratively
3. Using Memoization

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>n = 5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>fibonacci(n) -&gt; 5
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>n = 10
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>fibonacci(n) -&gt; 55
</code></pre>

The Fibonacci sequence starts as follows: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55…

This question requires the implementation of the Fibonacci sequence using three different methods: recursively, iteratively, and using memoization.

Implementing the Fibonacci Sequence in Three Different Methods

Let’s say you work as a data scientist at a bank.

You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan they are taking out.

<ol>
<li>How would you evaluate whether using a decision tree algorithm is the correct model for the problem?</li>

<li>Let’s say you move forward with the decision tree model. How would you evaluate the performance of the model before deployment and after?</li>
</ol>

Decision Tree Evaluation

Given the <code>employees</code> and <code>departments</code> table, write a query to get the top 3 highest employee salaries by department. If the department contains less that 3 employees, the top 2 or the top 1 highest salaries should be listed (assume that each department has at least 1 employee). 

Note: The output should include the full name of the employee in one column, the department name, and the salary. The output should be sorted by department name in ascending order and salary in descending order. 

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>employee_nam</code>e</td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>department_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Get the top 3 highest employee salaries by department

Top Three Salaries

In the context of hypothesis testing, what are type I errors (type one errors) and type II errors (type two errors)? What is the difference between the two?

Bonus: Describe the probability of making each type of error mathematically.

What is the difference between type I and type II errors?

Type I and II Errors

Given two sorted lists, write a function to merge them into one sorted list.

Bonus: What’s the time complexity?

Example:

Input:

<pre tabindex="0" class="chroma"><code>list1 = [1,2,5]
list2 = [2,4,6]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def merge_list(list1,list2) -&gt; [1,2,2,4,5,6]
</code></pre>

You have two sorted lists, one with m elements and one with n elements. What would be the time complexity of merging the two lists via merge sort?

You have two sorted lists, one with m elements and one with n elements. What would be the time complexity of merging the two lists via merge sort? 

Merging Lists Complexity

Let’s say you want to test the close friends feature on Instagram Stories.

How would you make a control group and test group to account for network effects?

What could be a potential risk when Facebook segments the metrics of the user interface change by market or demographic groups?

What could be a potential risk when Facebook segments the metrics of the user interface change by market or demographic groups?

Network Experiment Design I

What is the primary metric that Facebook should monitor if it decides to make the user interface of its posting feature more like Instagram's?

What is the primary metric that Facebook should monitor if it decides to make the user interface of its posting feature more like Instagram's?

Network Experiment Design II

If Facebook changes its user interface to mimic Instagram's, which adverse effect should they anticipate and monitor?

If Facebook changes its user interface to mimic Instagram's, which adverse effect should they anticipate and monitor?

Network Experiment Design III

Network Experiment Design

Let’s say you’re given all the different marketing channels along with their respective marketing costs at a company called Mode, that sells B2B analytics dashboards.

What metrics would you use to determine the value of each marketing channel?

When determining the value of each marketing channel for the company Mode, which metric is considered the key metric?

When determining the value of each marketing channel for the company Mode, which metric is considered the key metric?

What is a confidence interval for a statistic? Why is it useful to know the confidence interval for a statistic and how do you calculate it?

What are confidence intervals and how are they useful

Confidence Interval Explanation

Given a <code>employees</code> and <code>departments</code> table, select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>percentage_over_100k</code></td>
<td>FLOAT</td>
</tr>

<tr>
<td><code>department_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>number_of_employees</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Challenge

Tencent Salaries by Position

About TencentTencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is "Value for Users, Tech for Good". We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity. We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive. About IEG GlobalTencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China. Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players. Key Responsibilities<ul><li>Conduct research and development on multimodal processing algorithms and models, including but not limited to image and video understanding and generation, as well as alignment and integration of multimodal information with textual data.</li><li>Design and optimize existing algorithms to improve performance and accuracy, ensuring a high-quality user experience.</li><li>Conduct in-depth research on and stay up to date with cutting-edge technologies in mutlimodal learning, NLP, CV, and related fiels, and promptly apply new technologies to products.</li><li>Explore and develop reinforcement learning algorithms and frameworks, including but not limited to policy optimization and reward modeling.</li></ul> Requirements<ul><li>Bachelor's degree or above in Computer Science, Information Engineering, Pattern Recognition, Artificial Intelligence, or related fields.</li><li>Proficient in fundamental algorithms and applications related to computer vision and image processing; familiar with at least one deep leaming framework such as Caffe, TensorFlow, or PyTorch.</li><li>Strong engineering implementation skills; proficient in at least one programming language such as C++ or Python.</li></ul>

About TencentTencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is "Value for Users, Tech for Good". We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity.We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive. About CDGCorporate Development Group (CDG) as the platform for the company's new business incubation and new business exploration, CDG is responsible for promoting development and innovation for important areas such as financial technology and advertising, as well as marketing services, including payment and financial applications. As a professional support platform, CDG also supports the company and various business groups in strategic planning, investments and mergers, investor relations and corporate global communications, marketing and public relations, and more. Responsibilities<ul><li>Support data analysis for our overseas Ad Network to identify optimization opportunities and enhance campaign performance through industry insights and data-driven recommendations.</li><li>Collaborate with Data Science and Algorithms teams to design and validate advertising strategies, refine analysis methodologies and strategic tools to improve bidding, targeting, and pacing models.</li><li>Drive the full product development lifecycle, including requirement analysis, cross-functional coordination, and tracking progress from evaluation and development to launch and post-launch performance reviews.</li><li>Explore and implement AI agents and automated analysis tools to streamline data workflows and improve the efficiency of data analysis and strategic decision-making.</li></ul> Requirements<ul><li>Currently pursuing an undergraduate degree in Computer Science, Data Science, Computer Engineering, or a related field, with an expected graduation in 2027.</li><li>Proficiency in SQL and Python (knowledge of C/C++/Go is a plus).</li><li>Strong analytical and problem-solving skills with a keen eye for detail.</li><li>Strong sense of ownership, customer-oriented mindset, and integrity.</li><li>Fast learner and effective team player with excellent communication skills.</li><li>Prior internship or work experience in the tech or internet industry is preferred.</li><li>Fluency in English and Mandarin to collaborate effectively with international teams and HQ stakeholders.</li></ul>

About WeChatWith over 1.3 billion users worldwide, WeChat is shaping the future of digital communication by connecting people, services, and businesses across the globe. The WeChat operations team offers a unique opportunity to redefine how users engage with mobile technology while gaining valuable insights into global user behavior and preferences. Based in Singapore, our team is responsible for managing and expanding WeChat’s core product offerings, including messaging and social networking, for users outside the Chinese mainland. Join us in making a meaningful impact by keeping millions of people connected through one of the world's most influential digital platforms. About the InternshipWeChat’s internships provide paid, full-time opportunities lasting a minimum of 12 weeks. Interns will be mentored by senior members of the WeChat operations team and work hands-on in developing new projects and product features. By the end of the internship, participants will have gained a deep understanding of WeChat’s values, independently executed data-driven projects, and collaborated effectively across multiple departments, including product, engineering, and legal teams. Why Join Us?<ul><li>Gain hands-on experience with large-scale data in a leading global tech company.</li><li>Work with cutting-edge technologies and experienced mentors in a dynamic environment.</li><li>Be part of an impact-driven team that shapes digital communication worldwide.</li></ul> Responsibilities<ul><li>Analyze large datasets to identify business opportunities and optimize product performance.</li><li>Develop data dashboards and visualization tools to track key performance metrics and provide actionable product insights.</li><li>Assist in building scalable data pipelines to support WeChat’s operational needs and enhance platform security.</li><li>Collaborate with cross-functional teams to translate analytical findings into business strategies.</li></ul> Requirements<ul><li>Currently pursuing an undergraduate or graduate degree in Computer Science, Data Science, Computer Engineering, or a related field.</li><li>Proficiency in SQL and Python (knowledge of C/C++/Go is a plus).</li><li>Strong analytical and problem-solving skills with a keen eye for detail.</li><li>Strong sense of ownership, customer-oriented mindset, and integrity.</li><li>Fast learner and effective team player with excellent communication skills.</li><li>Prior internship or work experience in the tech or internet industry is preferred.</li><li>Fluency in English and Mandarin to collaborate effectively with international teams and HQ stakeholders.</li></ul>

About WeChatWith over 1.3 billion users worldwide, WeChat is shaping the future of digital communication by connecting people, services, and businesses across the globe. The WeChat operations team offers a unique opportunity to redefine how users engage with mobile technology while gaining valuable insights into global user behavior and preferences. Based in Singapore, our team is responsible for managing and expanding WeChat’s core product offerings, including messaging and social networking, for users outside the Chinese mainland. Join us in making a meaningful impact by keeping millions of people connected through one of the world's most influential digital platforms. About the InternshipWeChat’s internships provide paid, full-time opportunities lasting a minimum of 12 weeks. Interns will be mentored by senior members of the WeChat operations team and work hands-on in developing new projects and product features. By the end of the internship, participants will have gained a deep understanding of WeChat’s values, independently executed data-driven projects, and collaborated effectively across multiple departments, including product, engineering, and legal teams. Why Join Us?<ul><li>Gain hands-on experience with large-scale data in a leading global tech company</li><li>Work with cutting-edge technologies and experienced mentors in a dynamic environment</li><li>Be part of an impact-driven team that shapes digital communication worldwide</li></ul> Responsibilities<ul><li>Support the development of backend services and APIs to support WeChat's product and data needs.</li><li>Build and maintain large-scale data pipelines for ingestion, transformation, and analytics across distributed systems.</li><li>Work with the data platform team to optimize storage and query performance on systems such as ClickHouse, Hive, and Apache Iceberg.</li><li>Contribute to real-time data streaming infrastructure using tools such as Apache Pulsar or Kafka.</li><li>Collaborate with product and data teams to translate business requirements into scalable technical solutions.</li><li>Participate in code reviews and system design discussions with a strong eagerness to learn.</li></ul> Requirements<ul><li>Currently pursuing an undergraduate or graduate degree in Computer Science, Data Science, Mathematics, or similar quantitative field.</li><li>Proficiency in at least one backend programming language: Python, Java, C/C++, or Go.</li><li>Familiarity with big data ecosystems and tools such as Spark, Hive, Iceberg, ClickHouse, Kafka, or Apache Pulsar is a strong plus.</li><li>Understanding of distributed systems concepts (e.g. data partitioning, replication, fault tolerance) is preferred.</li><li>Self-driven, detail-oriented, and eager to learn in a fast-paced collaborative environment.</li><li>Fluency in both English and Mandarin to work effectively with international teams and stakeholders based in HQ.</li></ul>

Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What The Role Entails Position OverviewTencent Cloud is expanding its global footprint and inviting 2026–2027 graduates to join our Technology Product Manager Internship Program. From May–Aug 2026, you’ll gain hands-on experience in cloud product management, supporting the product lifecycle from design and planning to enablement and commercialization. You’ll be matched to a Tencent Cloud product vertical (e.g., storage, network, compute, private cloud) and contribute to projects with global impact, collaborating with cross-functional teams in a fast-paced, innovative environment. ???? Internship Period: May- Aug 2026 (Extendable)???? Location: Shenzhen / Beijing / Shanghai (depending on team placement)???? Eligibility: 2026–2027 Graduates✨ Perks: Internship allowance, Accommodation allowance, Return flight ticket allowance, Company canteen & gym, Corporate insurance, Festive gifts, and more!✨ Responsibilities<ul><li>Support product planning through research, documentation and competitive analysis</li><li>Assist in drafting PRDs, go-to-market materials and enablement content</li><li>Contribute to pricing, operational toolkits and system configuration</li><li>Conduct market/user research and benchmark against competitors</li><li>Support performance tracking and reporting with dashboards/KPIs</li><li>Collaborate with teams on training, rollout, and delivery enablement</li></ul> Requirements:<ul><li>Pursuing a Bachelor’s/Master’s in Computer Science, Engineering, or related field (other majors with passion in tech welcome).</li><li>Graduating in year 2026–2027, with valid student status during the internship.</li><li>Able to commit 3 months full-time </li><li>Prior B2B product/IaaS/PaaS/SaaS internship a plus.</li><li>Strong logical thinking, problem-solving, and communication skills.</li><li>Proficient in English and Mandarin to work with China HQ-based teams.</li></ul> Kickstart your career in product management with Tencent Cloud — apply now and be part of shaping the future of cloud technologies! Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

About TencentTencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is "Value for Users, Tech for Good". We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity. We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive. About IEG GlobalTencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China. Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. About The Hiring TeamLevel Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What The Role EntailsAs an AI Research Engineer Intern, you will:<ul><li>Conduct research and development on multimodal processing algorithms and models, including but not limited to image and video understanding and generation, as well as alignment and integration of multimodal information with textual data;</li><li>Design and optimize existing algorithms to improve performance and accuracy, ensuring a high-quality user experience;</li><li>Conduct in-depth research on and stay up to date with cutting-edge technologies in multimodal learning, NLP, CV, and related fields, and promptly apply new technologies to products.</li><li>Explore and develop reinforcement learning algorithms and frameworks, including but not limited to policy optimization, reward modeling.</li></ul> Who We Look For<ul><li>Bachelor’s degree or above in Computer Science, Information Engineering, Pattern Recognition, Artificial Intelligence, or related fields;</li><li>Proficient in fundamental algorithms and applications related to computer vision and image processing; familiar with at least one deep learning framework such as Caffe, TensorFlow, or PyTorch;</li><li>Strong engineering implementation skills; proficient in at least one programming language such as C++ or Python.</li></ul>

About The Hiring Team Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What The Role Entails <ul><li> Design, build, and maintain efficient, scalable data architectures and pipelines. </li><li> Process and transform large-scale datasets, ensuring data quality and integrity. </li><li> Optimize ETL processes to enhance data processing efficiency and reliability. </li><li> Collaborate with the data analytics team to provide necessary data support, ensuring timeliness and accuracy. </li><li> Work with product and engineering teams to drive data-driven decision-making and product optimization. </li><li> Design and implement data warehouse solutions, supporting both data lake and data warehouse architectures. </li><li> Ensure data security, privacy, and compliance, adhering to best practices in data management. </li></ul>Qualifications: Who We Look For <ul><li> Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related field. </li><li> At least 2 years of experience in data engineering, with hands-on experience in big data processing and pipeline design. </li><li> Proficient in SQL, with the ability to handle complex queries and optimizations. </li><li> Familiarity with big data technologies such as Spark, Hive, Flink, Kafka, etc. </li><li> Proficient in programming languages such as Python or Java, with good coding practices. </li><li> Experience with database design, data warehousing, and ETL tools (such as Airflow, Luigi). </li><li> Familiarity with cloud platforms (AWS, Azure, GCP) and data lake technologies (Iceberg, Delta Lake). </li><li> Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams and drive project progress. </li><li> Bonus: Experience in data quality, data governance, or related fields. </li></ul>Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Business Unit Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation. What The Role Entails <ul><li>Research and optimize content generation models (text, image, audio, 3D models, etc.) to address challenges such as generation quality, diversity, controllability, and efficiency. </li><li>Aim to improve user experience and production effectiveness, and support the productization of algorithms. </li><li>Conduct algorithm training and optimization in areas such as image generation, multi-modal large models, and few-shot learning. </li><li>Based on inhouse products and business needs, improve the performance and experience of AI painting, text generation, and video generation through: Prompt optimization / Generation model R&D / Adapter development / Performance acceleration which also includes resolving algorithm bottlenecks when applying models in real business scenarios. </li><li>Address the industrial deployment of multimodal generative models and actively explore model design and optimization in an R&D context </li></ul>Who We Look For <ul><li>PhD (preferably fulltime) in Computer Science, Artificial Intelligence, Mathematics, or related fields. </li><li>Solid foundation in computer vision or machine learning algorithms; candidates with publications in top conferences or journals are preferred. </li><li>Proficient in machine learning and deep learning fundamentals, and familiar with mainstream AIGC frameworks, including GAN, VAE, VQGAN, Diffusion models, etc. </li><li>Familiar with generation model extensions such as ControlNet, LoRA, and Text Inversion. </li><li>Familiar with multi-modal models like CLIP, ERNIE-ViL, and other transformer-based cross-modal representation models. Hands-on experience in NLP, multi-modal learning, or AI-generated content is a strong plus. </li><li>Strong learning ability, clear logical thinking, excellent communication skills, and a high level of curiosity. </li><li>Good teamwork and interpersonal communication skills. </li><li>Fluency in both English and Mandarin to deal with international stakeholders and stakeholders who are based in HQ </li></ul>Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Business Unit LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. About The Hiring Team Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. What The Role Entails Research on state-of-the-art machine learning, deep learning, social-network data mining and recommendation algorithms with game data, help design, evaluate and improve the core algorithm and strategy for online AI serving. Response for in-depth statistical analysis from large-scale data, mining for user behavior and attributes, building user portraits. Conduct sentiment analysis, topic modeling and summarization on massive user comments. Identify user pain points through massive data and proposing strategies improving user retention. Improving data analysis pipelines, combining business requirements and data, by using distributed computation platform, develop efficient and reliable data mining solutions. Research on AI agents for upgrading existing working pipeline. Who We Look For A strong understanding of statistical models, related machine learning principles, and experience working on data mining related projects. Familiar with machine learning, deep learning and recommendation algorithms such as clustering and classification, grasping and having deep understanding in at least one of them. Strong self-driven ability, team cooperation ability, anti-pressure ability and studious candidates is preferred. Proficient in at least one programming language, familiar with basic data structures and algorithms. Prefer candidates with research experience such as academic publications. Prefer candidates with NLP experience such as sentimen analysis, text summary, LLM fine-tune, AI agents. Prefer candidates familiar with causal inference or optimization algorithms. Prefer candidates having big data experience, and familiar with distributed computation framework such as Hadoop, spark, hive and etc. Prefer candidates with strong logical thinking ability, communication ability and business understanding, and familiar with game situations. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Calculate Moving Average	SQL	Easy
Predict Customer Churn	Machine Learning	Medium
A/B Test Significance	Statistics	Medium
Optimize Query Performance	SQL	Hard
Feature Importance Analysis	Machine Learning	Medium
Clean Missing Data	Python	Easy
Neural Network Architecture	Deep Learning	Hard
Calculate Cohort Retention	SQL	Medium
Bayesian Probability	Statistics	Easy
Recommend Similar Products	Machine Learning	Hard

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