Coursera is a leading global online learning platform dedicated to providing universal access to top-notch education. With over 118 million registered learners and partnerships with 300 prestigious universities and industry leaders like Google, IBM, and Duke University, Coursera offers diverse content ranging from courses and specializations to professional certificates and degree programs.
As a Software Engineer at Coursera, you will typically own the continuous integration and deployment processes. The role involves designing scalable systems, conducting A/B testing, monitoring APIs, and ensuring productivity tools for the engineering team. Their ideal candidates have expertise in Java, Spring, GraphQL, and other relevant technologies, with comfort for working in fast-paced environments following CI/CD practices.
For more preparation, delve into Interview Query’s resources to tackle the commonly asked Coursera software engineer interview questions, including coding challenges and behavioral questions typically encountered in the interview process.
The interview process usually depends on the role and seniority; however, you can expect the following on a Coursera software engineer interview:
If your CV is among the shortlisted few, a recruiter from the Coursera Talent Acquisition Team will contact you and verify key details like your experiences and skill level. Behavioral questions, such as “Why do you want to work here?” and “What do you know about Coursera?” may also be part of the screening process.
In some cases, the hiring manager might also be present during the screening round to answer your questions about the role and the company. They may also indulge in surface-level technical and behavioral discussions.
The whole recruiter call should take about 30 minutes.
After the initial recruiter call, you will receive a take-home coding challenge. The challenge typically involves algorithm and data structure problems that you might encounter on platforms like Interview Query. You have a significant amount of time to solve these problems, usually 24 hours to a weekend.
These coding challenges often include problems such as medium-level Leetcode questions and can vary from array manipulation tasks to designing system components like an election algorithm or a content sourcing system.
Passing the initial coding challenge will present you with an invitation for the technical screening round. This round usually involves a video conference where you will tackle practical problems. The interviewer might not be too concerned about the time/space complexity but is looking for a practical, deployable solution.
Expect medium-level questions, often based on Leetcode. You might also be asked how to improve the implemented algorithms and to perform tasks like converting JSON to a dictionary and vice-versa.
If you advance past the technical virtual interview, you’ll be invited to attend multiple onsite interview rounds. This part of the process typically includes:
Typically, interviews at Coursera vary by role and team, but commonly, Software Engineer interviews follow a fairly standardized process across these question topics.
find_bigrams
to return a list of all bigrams in a sentence.Write a function called find_bigrams
that takes a sentence or paragraph of strings and returns a list of all its bigrams in order. A bigram is a pair of consecutive words.
Given a table of bank transactions with columns id
, transaction_value
, and created_at
, write a query to get the last transaction for each day. The output should include the id, datetime, and transaction amount, ordered by datetime.
find_change
to find the minimum number of coins for a given amount.Write a function find_change
to find the minimum number of coins that make up the given amount of change cents
. Assume we only have coins of value 1, 5, 10, and 25 cents.
Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar
, with corresponding counts of the balls stored in the same index in a list called n_balls
.
calculate_rmse
to compute the root mean squared error.Write a function calculate_rmse
to calculate the root mean squared error of a regression model. The function should take in two lists, one representing the predictions y_pred
and another with the target values y_true
.
A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you set up this test?
Your manager ran an A/B test with 20 different variants and found one significant result. Would you think there was anything fishy about the results?
A social media company launched in a new city and saw a slow decrease in the average number of comments per user from January to March, despite consistent user growth. What are some reasons for this decrease, and what metrics would you look into?
Given all the different marketing channels and their respective costs at Mode, a company selling B2B analytics dashboards, what metrics would you use to determine the value of each marketing channel?
You have a 4x4 grid with a mouse trapped in one of the cells. You can “scan” subsets of cells to know if the mouse is within that subset. How would you figure out where the mouse is using the fewest number of scans?
Create a function that takes the number of tosses and the probability of heads as input and returns a list of randomly generated results (‘H’ for heads, ’T’ for tails).
Example 1:
tosses = 5
probability_of_heads = 0.6
Output:
coin_toss(tosses, probability_of_heads) -> ['H', 'T', 'H', 'H', 'T']
Example 2:
tosses = 3
probability_of_heads = 0.2
Output:
coin_toss(tosses, probability_of_heads) -> ['T', 'T', 'T']
Create a function that takes a list of integers and returns the sample variance, rounded to 2 decimal places.
Example:
test_list = [6, 7, 3, 9, 10, 15]
Output:
get_variance(test_list) -> 13.89
Given that the probability of item X being available at warehouse A is 0.6 and at warehouse B is 0.8, what is the probability that item X would be found on Amazon’s website?
Given that personal loans are monthly installments, how would you compare the performance of two credit risk models over a specific timeframe?
Identify the key metrics to track to measure the success of a new credit risk model for personal loans.
Assume you have built a V1 of a spam classifier for emails. Specify the metrics you would use to evaluate its accuracy and validity.
Explain the main differences between classification models and regression models.
Compare two machine learning algorithms and provide an example of the tradeoffs between using a bagging algorithm and a boosting algorithm.
Describe the outcome of running logistic regression on a dataset that is perfectly linearly separable.
Average Base Salary
Average Total Compensation
To prepare effectively:
The behavioral interview usually explores your motivations for joining Coursera, your past work experiences, and how you handle various work situations. Common questions include “Why Coursera?” and “What interesting projects have you worked on?” Be prepared to align your answers with Coursera’s mission and values.
Many candidates have reported a lack of feedback post-interview. While this isn’t always the case, it’s a good idea to manage your expectations and focus on areas you can improve independently based on the interview experience.
Explore more about Coursera’s interview process and see how you can ace your interviews by checking our comprehensive Coursera Interview Guide. Dive into potential interview questions, gain key insights, and boost your preparation for roles such as software engineer.
With Interview Query, conquer each challenge with strategic guidance, boosting your knowledge and confidence throughout the process. Check out more company interview guides and feel free to reach out if you have any questions.
Good luck with your interview!