Mashgin is at the forefront of redefining the checkout experience, aiming to eliminate hurdles between customer desires and their departures. Backed by premier Silicon Valley investors, Mashgin achieved a $1.5B valuation in its Series B funding round in May 2022. The company boasts the world's only 3D computer vision and deep learning-based checkout system, deployed across 4,000+ locations including NFL, MLB, Circle K, and more.

Join Mashgin as a Software Engineer to build and enhance the software running their kiosks and intricate backend infrastructure. This role involves end-to-end project ownership, tackling diverse challenges, from conceptualizing to deploying production-ready code. Expect to engage with multiple languages and frameworks, contribute to feature development, and continuously optimize existing systems. If you thrive in a dynamic, multidisciplinary team and are ready to shape cutting-edge technology, this guide will provide all the insights you need to ace your Mashgin interview with Interview Query.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Mashgin Inc. as a Software Engineer. Whether you were contacted by a Mashgin recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Mashgin Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Mashgin Software Engineer hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Mashgin Software Engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Mashgin’s systems and specific programming languages like Python, Node.js, C++, Go, C#, and Java.

In the case of software engineer roles, take-home assignments focusing on coding tasks and system design are incorporated. Apart from these, your proficiency with algorithms, data structures, and database technologies may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your visit to the Mashgin office. Your technical prowess, including programming and system architecture capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Software Engineer role at Mashgin.

Quick Tips For Mashgin Software Engineer Interviews

• Know Your Programming Languages: Mashgin values strong proficiency in programming languages such as Python, Node.js, C++, Go, C#, and Java. Brush up on your coding skills and be ready to demonstrate your knowledge in these areas.
• Understand the Full Stack: Since the role may involve working both on the backend and frontend, ensure you have a good understanding of the full-stack development process, including cloud infrastructure and database management.
• Be Prepared for System Design Questions: Given the nature of the role, be prepared to answer system design questions. Think about scalability, reliability, and maintainability when answering these questions.

Typically, interviews at Mashgin Inc. vary by role and team, but commonly Software Engineer interviews follow a fairly standardized process across these question topics.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: Determine the time complexity.

• Write a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of \(O(n)\) required.

• Write a function precision_recall to calculate precision and recall metrics from a 2-D matrix. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. Write a function to search for a target value in the array. If the value is in the array, return its index; otherwise, return -1. Bonus: Your algorithm's runtime complexity should be in the order of \(O(\log n)\).

• Would you think there was anything fishy about the results of an A/B test with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you suspect any issues with the results?

• How would you set up an A/B test to optimize button color and position for higher click-through rates? 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 design this test?

• What would you do if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What steps would you take to address this issue?

• Why would the number of job applicants decrease while job postings remain the same? You observe that the number of job postings per day has remained constant, but the number of applicants has been decreasing. What could be causing this trend?

• What are the drawbacks of the given student test score datasets, and how would you reformat them for better analysis? You have data on student test scores in two different layouts. What are the drawbacks of these formats, and what changes would you make to improve their usefulness for analysis? Additionally, describe common issues in "messy" datasets.

• Is this a fair coin? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if the coin is fair based on this outcome.

• How do you write a function to calculate sample variance? Write a function that outputs the sample variance given a list of integers. Round the result to 2 decimal places. Example input: test_list = [6, 7, 3, 9, 10, 15]. Example output: get_variance(test_list) -> 13.89.

• Is there anything fishy about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Evaluate if there is anything suspicious about these results.

• How do you find the median in a list with more than 50% repeating integers in O(1) time? Given a list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in O(1) computational time and space. Example input: li = [1,2,2]. Example output: median(li) -> 2.

• What are the drawbacks and formatting changes needed for messy datasets? Assume you have data on student test scores in two different layouts (dataset 1 and dataset 2). Identify the drawbacks of these layouts, suggest formatting changes to make the data more useful for analysis, and describe common problems seen in messy datasets.

• How would you evaluate whether using a decision tree algorithm is the correct model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan. How would you evaluate if a decision tree is the right choice, and how would you assess its performance before and after deployment?

• How does random forest generate the forest, and why use it over logistic regression? Explain the process by which a random forest generates its ensemble of trees. Additionally, discuss the advantages of using random forest over logistic regression.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. Describe scenarios where you would prefer a bagging algorithm over a boosting algorithm, and discuss the tradeoffs between the two.

• How would you justify using a neural network model and explain its predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of the model and explain its predictions to non-technical stakeholders?

• What metrics would you use to track the accuracy and validity of a spam classifier? You are tasked with building a spam classifier for emails and have completed a V1 of the model. What metrics would you use to evaluate the model's accuracy and validity?

What is the average salary for a Software Engineer at Mashgin Inc.?

Q: What does Mashgin specialize in?
Mashgin is at the forefront of developing the future of checkout experiences using 3D computer vision and deep learning technologies. Our system aims to make checkout seamless and friction-free, deployed across 4,000+ locations globally, including customers like the NFL, MLB, Circle K, and Aramark.

Q: What roles are typically available for Software Engineers at Mashgin?
We offer various roles such as Full-Stack Developer, Backend Developer, and Machine Learning Engineer. These positions involve working on the software that runs our kiosks, managing extensive backend infrastructure, and developing deep learning techniques for real-world applications.

Q: What are the minimum qualifications required for a Software Engineer at Mashgin?
Candidates should have a B.S. or higher in Computer Science or equivalent work experience, 5-8+ years of relevant coding experience, and excellent knowledge of one or more programming languages such as Python, Node.js, C++, Go, C#, or Java.

Q: What kind of work culture can I expect at Mashgin?
At Mashgin, we value the autonomy of one’s work, a culture of respect for one another, and building products with empathy for our customers. You'll be working in a fast-paced environment that encourages innovation and end-to-end ownership of projects.

Q: What benefits does Mashgin offer?
Employees enjoy excellent health, dental, and vision insurance, a 401k plan, a flexible PTO policy, competitive salary, and stock options in a rapidly scaling company. You'll have the opportunity to work in a multidisciplinary team breaking ground in various industries.

Looking to work at the cutting edge of tech with a company that's revolutionizing checkout experiences? Mashgin is your place! With a stellar Series B funding round at a $1.5B valuation and backing from top Silicon Valley investors, Mashgin offers the chance to be part of something extraordinary. From the NFL to Circle K, our 3D computer vision and deep learning systems are making waves across a myriad of industries.

At Mashgin, we cherish autonomy, respect, and empathy in our work culture. Imagine owning major feature development, collaborating directly with founders, and being involved throughout the entire product lifecycle. Whether you're into full-stack development, machine learning, or hardcore backend engineering, Mashgin provides a dynamic, interdisciplinary team environment where innovation thrives.

For detailed interview insights and preparation tips, explore our Mashgin Interview Guide. Want to delve into specific roles like software engineering or data analysis at Mashgin? Check out our specialized guides here.

At Interview Query, we equip you with the strategic know-how to ace your Mashgin interview. Explore all our company interview guides for comprehensive preparation.

Good luck with your interview, and take the next step toward an exciting career with Mashgin!