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Interview Questions

Review this list of 4,477 interview questions and answers verified by hiring managers and candidates.
  • Strava logoAsked at Strava 
    1 answer
    Video answer for 'What led Strava to launch indoor workout tracking?'

    "great answer!"

    Anonymous Finch - "great answer!"See full answer

    Product Strategy
  • "For data distribution drift: DL Divergence or PSI (Population Stability Index) performance: two categories: 1st operational metrics: runtime. 2nd model performance: loss function, MAE (regression), business metrics: overall watch time, DAU, revenue lift etc Outlier: data distribution"

    L B. - "For data distribution drift: DL Divergence or PSI (Population Stability Index) performance: two categories: 1st operational metrics: runtime. 2nd model performance: loss function, MAE (regression), business metrics: overall watch time, DAU, revenue lift etc Outlier: data distribution"See full answer

    Machine Learning Engineer
    Machine Learning
    +1 more
  • LinkedIn logoAsked at LinkedIn 
    2 answers

    "Attempted the answer. Feedback appreciated. Thanks! Mission: LinkedIn mission statement is to “connect the world's professionals to make them more productive and successful.” LinkedIn Feed: People You Know, Talking About Things You Care About. One of things can be done is look for Existing engagement metrics that LinkedIn news feed may have. Look for data where engagement is low and understand why and come up with a hypothesis for that. For this exercise will assume there is no pro"

    Madhumita M. - "Attempted the answer. Feedback appreciated. Thanks! Mission: LinkedIn mission statement is to “connect the world's professionals to make them more productive and successful.” LinkedIn Feed: People You Know, Talking About Things You Care About. One of things can be done is look for Existing engagement metrics that LinkedIn news feed may have. Look for data where engagement is low and understand why and come up with a hypothesis for that. For this exercise will assume there is no pro"See full answer

    Product Design
  • Adobe logoAsked at Adobe 
    6 answers
    +3

    "function main(){ const v1=[2,3, 4, 10] const v2= [3,4 ,5,20, 23] return merge(v1,v2); } function merge(left, right){ const result=[]; while(left.length>0&& right.length>0){ if(left[0]0){ result=result.concat(left) } if(right.length>0){ result=result.concat(right) } return result; }"

    Samuel M. - "function main(){ const v1=[2,3, 4, 10] const v2= [3,4 ,5,20, 23] return merge(v1,v2); } function merge(left, right){ const result=[]; while(left.length>0&& right.length>0){ if(left[0]0){ result=result.concat(left) } if(right.length>0){ result=result.concat(right) } return result; }"See full answer

    Software Engineer
    Data Structures & Algorithms
    +5 more
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  • Google logoAsked at Google 
    Add answer
    Product Manager
    Product Strategy
  • Amazon logoAsked at Amazon 
    Add answer
    Product Manager
    Behavioral
  • Apple logoAsked at Apple 
    2 answers

    "Hey Grandma, you've had a lot of experience with infants, haven't you? When they were babies, you taught them how to chew in their first six months. This initial phase is like giving them data. Once they learned how to chew, they could handle any food you gave them. Next, you refined their learning by teaching them that they should only chew on food. This is like refining the data so they understand what is relevant. Then, a few months later, they started crawling and walking, learning by observ"

    Hari priya K. - "Hey Grandma, you've had a lot of experience with infants, haven't you? When they were babies, you taught them how to chew in their first six months. This initial phase is like giving them data. Once they learned how to chew, they could handle any food you gave them. Next, you refined their learning by teaching them that they should only chew on food. This is like refining the data so they understand what is relevant. Then, a few months later, they started crawling and walking, learning by observ"See full answer

    Machine Learning Engineer
    Concept
  • Anthropic logoAsked at Anthropic 
    2 answers

    "Follow news and resources via conferences or top companies' blogs, such as NeurIPS 2023 or Google Research Blog to get updates about the machine learning landscape. Research the papers on the new technology or approach that was mentioned or introduced via the subscribed sources, such as listed above. Following media channels, podcasts, or influencers on social media who were recently active in the industry to catch up with the trending and valuable insights, research, thoughts... Scan Github"

    Ban N. - "Follow news and resources via conferences or top companies' blogs, such as NeurIPS 2023 or Google Research Blog to get updates about the machine learning landscape. Research the papers on the new technology or approach that was mentioned or introduced via the subscribed sources, such as listed above. Following media channels, podcasts, or influencers on social media who were recently active in the industry to catch up with the trending and valuable insights, research, thoughts... Scan Github"See full answer

    Machine Learning Engineer
    Behavioral
    +1 more
  • Robinhood logoAsked at Robinhood 
    4 answers
    +1

    "In this question, we don't want to jump the gun and say "yes, there should definitely be 2 different apps". Maybe there should be instead of jumping to building two apps, we must first ask a few questions and diagnose the problem, use case, and smallest amount of work we can do to get a return on data. I'd first look at the long term mission or value of Robinhood. Is it to make investing more accessible to novice investors or to focus on building up portfolios of veteran investors and recognize"

    Irma M. - "In this question, we don't want to jump the gun and say "yes, there should definitely be 2 different apps". Maybe there should be instead of jumping to building two apps, we must first ask a few questions and diagnose the problem, use case, and smallest amount of work we can do to get a return on data. I'd first look at the long term mission or value of Robinhood. Is it to make investing more accessible to novice investors or to focus on building up portfolios of veteran investors and recognize"See full answer

    Product Strategy
  • "I would go look in the mirror and ask that person why the legal team is only flagging issues a week ahead of launch date. Did I not engage our legal team way in advance at the conception stage? Did I not follow up or collaborated with my program manager to follow up shortly with the legal team to check their progress of evaluating issues? If I did not do these things, it is on me. Let's assume I did do those things, but the legal team needed a lot of time to evaluate or get external opinion, th"

    Anonymous Sparrow - "I would go look in the mirror and ask that person why the legal team is only flagging issues a week ahead of launch date. Did I not engage our legal team way in advance at the conception stage? Did I not follow up or collaborated with my program manager to follow up shortly with the legal team to check their progress of evaluating issues? If I did not do these things, it is on me. Let's assume I did do those things, but the legal team needed a lot of time to evaluate or get external opinion, th"See full answer

    Product Manager
  • Lyft logoAsked at Lyft 
    3 answers

    "Ideas: Book a ride ahead of time on an app and provide timeslots. Have longer hours just for these rides so that people who care enough can go earlier. Distribute the demand by splitting a one-day ticket into 2 days so that traffic is distributed into 2 days. Fast pass add-on that lets you buy a fast pass for a specific ride instead of a combination. Have 2 of the top 3 popular rides and remove unpopular rides to use the space. Create a VR version of popular ride at the park so"

    M N. - "Ideas: Book a ride ahead of time on an app and provide timeslots. Have longer hours just for these rides so that people who care enough can go earlier. Distribute the demand by splitting a one-day ticket into 2 days so that traffic is distributed into 2 days. Fast pass add-on that lets you buy a fast pass for a specific ride instead of a combination. Have 2 of the top 3 popular rides and remove unpopular rides to use the space. Create a VR version of popular ride at the park so"See full answer

    Analytical
    Execution
    +1 more
  • "One of the most challenging moments I experienced as a Engineering Manager was with an employee who was a very talented engineer but struggled with communication and collaboration within the team. This situation not only affected his performance but also created tension among team members. To sort of elaborate on it, I had an engineer on my team, Ravi, who was extremely skilled technically and consistently delivered high-quality code. However, Ravi often worked in isolation, was reluctant to sh"

    Scott S. - "One of the most challenging moments I experienced as a Engineering Manager was with an employee who was a very talented engineer but struggled with communication and collaboration within the team. This situation not only affected his performance but also created tension among team members. To sort of elaborate on it, I had an engineer on my team, Ravi, who was extremely skilled technically and consistently delivered high-quality code. However, Ravi often worked in isolation, was reluctant to sh"See full answer

    Behavioral
  • DoorDash logoAsked at DoorDash 
    2 answers

    "Designed and framework to conduct risk and control assessment of applications that are prone to fraud risk and designed a target roadmap of overarching controls that further mitigates the risk. I explained how I took incharge of coming up with the framework for the assessment and held sessions. Role played with my team to think all the use cases possible and explained the accomplishments and takeaways."

    Hmj V. - "Designed and framework to conduct risk and control assessment of applications that are prone to fraud risk and designed a target roadmap of overarching controls that further mitigates the risk. I explained how I took incharge of coming up with the framework for the assessment and held sessions. Role played with my team to think all the use cases possible and explained the accomplishments and takeaways."See full answer

    BizOps & Strategy
    Behavioral
    +1 more
  • Google logoAsked at Google 
    3 answers

    "Clarification Questions I am assuming we need to deliver the packages to the doorstep. I am assuming we need to deliver all the packages which are ordered in a single day. For more product interview experience, please visit TechnoManagers https://technomanagers101.blogspot.com/ High level formula Number of Drones required = (US Population 330M)(Excluding 30% those below 10 years and above 65 years)(internet penetration 90%)([ (10% high networth people)(30 orders per year) ] + ["

    Anonymous Muskox - "Clarification Questions I am assuming we need to deliver the packages to the doorstep. I am assuming we need to deliver all the packages which are ordered in a single day. For more product interview experience, please visit TechnoManagers https://technomanagers101.blogspot.com/ High level formula Number of Drones required = (US Population 330M)(Excluding 30% those below 10 years and above 65 years)(internet penetration 90%)([ (10% high networth people)(30 orders per year) ] + ["See full answer

    Product Manager
    Estimation
  • +2

    "Range captures the difference between the highest and lowest value in a data set, while standard deviation measures the variation of elements from the mean. Range is extremely sensitive to outliers, it tells us almost nothing about the distribution of the data, and does not extrapolate to new data (a new value outside the range would invalidate the calculation). Standard deviation, on the other hand, offers us an insight into how closely data is distributed towards the mean, and gives us some pr"

    Mark S. - "Range captures the difference between the highest and lowest value in a data set, while standard deviation measures the variation of elements from the mean. Range is extremely sensitive to outliers, it tells us almost nothing about the distribution of the data, and does not extrapolate to new data (a new value outside the range would invalidate the calculation). Standard deviation, on the other hand, offers us an insight into how closely data is distributed towards the mean, and gives us some pr"See full answer

    Statistics & Experimentation
  • OpenAI logoAsked at OpenAI 
    Add answer
    Machine Learning Engineer
    Behavioral
    +1 more
  • LinkedIn logoAsked at LinkedIn 
    4 answers
    +1

    "Clarification LinkedIn Premium is a premium offering for LinkedIn members through which they get access to some additional features that are not available in the free version. Members can use these features to meet their goals When we talk about LinkedIn premium we are focused on the career product and not the sales / recruiter products? —> Yes, focused on individual members. Sales needs are solved through sales navigator and recuriter lite which are specialized premium tools *Goals"

    stash - "Clarification LinkedIn Premium is a premium offering for LinkedIn members through which they get access to some additional features that are not available in the free version. Members can use these features to meet their goals When we talk about LinkedIn premium we are focused on the career product and not the sales / recruiter products? —> Yes, focused on individual members. Sales needs are solved through sales navigator and recuriter lite which are specialized premium tools *Goals"See full answer

    Product Design
    Product Strategy
  • Lyft logoAsked at Lyft 
    2 answers

    "Assuming alternative for commuters currently is public transport. Commuter painpoints: Public transport timings are not reliable Paying fare, buying tickets, refilling fare cards can be cumbersome. Safety Current rideshare options are expensive Getting to public transport stations is inconvenient. Potential solutions: Improve public transit ETA accuracy on Lyft app using historical data and better data integration with transit companies. Integrate with multiple public tra"

    M N. - "Assuming alternative for commuters currently is public transport. Commuter painpoints: Public transport timings are not reliable Paying fare, buying tickets, refilling fare cards can be cumbersome. Safety Current rideshare options are expensive Getting to public transport stations is inconvenient. Potential solutions: Improve public transit ETA accuracy on Lyft app using historical data and better data integration with transit companies. Integrate with multiple public tra"See full answer

    Product Design
    Product Strategy
  • Amazon logoAsked at Amazon 
    1 answer

    "Situation - A time I saw a peer struggling was while I was at Google working in Mountain View. A fellow colleague of mine was consistently not meeting standards in his performance reviews and wasn’t sure why. He was upset because Google was his dream company and he wasn’t sure how to improve based on his feedback. Task - I was tasked to design a based VUI framework for our discovery space on smart displays. This colleague was acting as the VUI lead for the project while I acted as t"

    Ben G. - "Situation - A time I saw a peer struggling was while I was at Google working in Mountain View. A fellow colleague of mine was consistently not meeting standards in his performance reviews and wasn’t sure why. He was upset because Google was his dream company and he wasn’t sure how to improve based on his feedback. Task - I was tasked to design a based VUI framework for our discovery space on smart displays. This colleague was acting as the VUI lead for the project while I acted as t"See full answer

    Software Engineer
    Behavioral
    +3 more
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