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Kayak Interview Questions

Kayak Interview Guides

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

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

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Kayak Salaries by Position

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the worlds leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. Were also transforming the in-travel experience with our app and new accommodation software. For more information, visit www.KAYAK.com .As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel.Position KAYAK Labs seeks resourceful, agile data scientists with a strong interest in solving challenging machine learning problems across a range of domains and modalities, from recommender systems to reinforcement learning to vision to natural language processing. Good candidates will be well-versed in recent advances in machine learning and will be comfortable quickly testing and iterating on new insights. Positions at different levels of seniority are available.KAYAK Labs is a cross-cutting team focused on experimental projects and innovation across the business. Leveraging ML/AI, optimization, and our unique data assets, we aim for novel, impactful products and breakthrough improvements. We seek to distinguish our brand, to delight our users, and to help our customers experience the world with confidence and peace-of-mind.As part of the Labs team, youll collaborate with strong researchers and engineers, and your work will have tangible impact. You will be challenged; you will have an opportunity to shape our business and, by extension, the wider travel industry. You will expand your competence and explore new technologies at the intersection of AI, data engineering, computation, and product delivery at scale.Note: This is a hybrid work role for candidates who can join at least 3 days per week in-office.In this role, you will: Design and implement your own solutions to modeling problems that will improve user experience, and optimize key metrics important to the business.Conduct experiments and engage in rapid-prototyping of ideas, making creative use of the data and resources at your disposal.Implement designs in a stable, maintainable, and scalable production-ready form.Extract, process and leverage large data sets to drive successful projects.Engage in group problem-solving, and collaborative team efforts.Communicate and share results in a clear and concise manner.Please apply if you are/have: Comfortable with math, statistics, systems design and coding to the extent necessary to tackle industrial machine learning and data science challenges. A PhD in an aligned quantitative field (computer science, statistics, mathematics, operations research, engineering, etc.), is preferred and is a good indicator of sufficient preparation, but is not strictly required: what you can do (or quickly learn to do) is more important.Exposure to a minimum introductory level treatment of the core concepts and methods in machine/deep learning, and experience with their application to real-world data science problems.Proficient with current Python machine learning development ecosystems: PyTorch or TensorFlow, pandas/polars, scikit-learn, git, etc.Bonus Qualifications: Exposure to software engineering, whether individual or team-based.Direct experience applying ML/AI in a business environment, and experience distilling high-level business challenges down to concrete modeling problems.Hands-on experience with data engineering principles and methods: ETLs, relational databases, large-scale data frameworks like (Py)Spark.Benefits: 4 weeks paid vacationAbility to work from almost anywhereDay off on your birthdayGenerous retirement plansAwesome health, dental and vision insurance plansFlexible Spending AccountsHeadspace SubscriptionNo Meeting FridaysDrinks, coffee, snacks, games etc.Weekly catered lunchesFlexible hoursRegular team events/excursionsUniversal Paid Parental leaveDiversity and Inclusion We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer, and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.#J-18808-Ljbffr

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the worlds leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. Were also transforming the in-travel experience with our app and new accommodation software. For more information, visit www.KAYAK.com . As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel. Position KAYAK Labs seeks resourceful, agile data scientists with a strong interest in solving challenging machine learning problems across a range of domains and modalities, from recommender systems to reinforcement learning to vision to natural language processing. Good candidates will be well-versed in recent advances in machine learning and will be comfortable quickly testing and iterating on new insights. Positions at different levels of seniority are available. KAYAK Labs is a cross-cutting team focused on experimental projects and innovation across the business. Leveraging ML/AI, optimization, and our unique data assets, we aim for novel, impactful products and breakthrough improvements. We seek to distinguish our brand, to delight our users, and to help our customers experience the world with confidence and peace-of-mind. As part of the Labs team, youll collaborate with strong researchers and engineers, and your work will have tangible impact. You will be challenged; you will have an opportunity to shape our business and, by extension, the wider travel industry. You will expand your competence and explore new technologies at the intersection of AI, data engineering, computation, and product delivery at scale. Note: This is a hybrid work role for candidates who can join at least 3 days per week in-office. In this role, you will: Design and implement your own solutions to modeling problems that will improve user experience, and optimize key metrics important to the business. Conduct experiments and engage in rapid-prototyping of ideas, making creative use of the data and resources at your disposal. Implement designs in a stable, maintainable, and scalable production-ready form. Extract, process and leverage large data sets to drive successful projects. Engage in group problem-solving, and collaborative team efforts. Communicate and share results in a clear and concise manner. Please apply if you are/have: Comfortable with math, statistics, systems design and coding to the extent necessary to tackle industrial machine learning and data science challenges. A PhD in an aligned quantitative field (computer science, statistics, mathematics, operations research, engineering, etc.), is preferred and is a good indicator of sufficient preparation, but is not strictly required: what you can do (or quickly learn to do) is more important. Exposure to a minimum introductory level treatment of the core concepts and methods in machine/deep learning, and experience with their application to real-world data science problems. Proficient with current Python machine learning development ecosystems: PyTorch or TensorFlow, pandas/polars, scikit-learn, git, etc. Bonus Qualifications: Exposure to software engineering, whether individual or team-based. Direct experience applying ML/AI in a business environment, and experience distilling high-level business challenges down to concrete modeling problems. Hands-on experience with data engineering principles and methods: ETLs, relational databases, large-scale data frameworks like (Py)Spark. Benefits: 4 weeks paid vacation Ability to work from almost anywhere Day off on your birthday Generous retirement plans Awesome health, dental and vision insurance plans Flexible Spending Accounts Headspace Subscription No Meeting Fridays Drinks, coffee, snacks, games etc. Weekly catered lunches Flexible hours Regular team events/excursions Universal Paid Parental leave Diversity and Inclusion We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer, and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation. J-18808-Ljbffr

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We’re also transforming business travel with a new corporate travel solution, KAYAK for Business.As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world.Trade your daily grind for a career that lets you show off your passion for travel. Join KAYAK to build the travel tools that our users dream of, and develop your own ideas during our Hack Weeks. Be the first to play with new and exciting travel features (while getting paid for it)!You are an ambitious and hardworking developer with a passion for learning and delivering. You will be responsible for developing compelling user experiences for millions of prospective travelers every day. As a catalyst for complex projects and initiatives, you will work closely with other teams to develop innovative features and keep our product ahead of the competition. If you're an engineer who enjoys travel and wants to be a part of a team of diverse, collaborative, and driven individuals, we'd love to hear from you.This role is required to work at least 3 days a week from our Cambridge or Concord, MA office.In this role you will:<ul><li>Work on Hotels product features used by millions of people</li><li>Have end-to-end ownership of the UI, including testing, monitoring and troubleshooting</li><li>Make architectural decisions and build prototypes</li><li>Review and scope feature requests</li><li>Drive technical debt reduction, oversee code quality, and pair with other developers</li><li>Refactor and optimize existing code</li><li>Work with geographically distributed teams</li></ul>Please apply if you have:<ul><li>Bachelor's degree or higher, preferably in a quantitative/technical field (e.g. Computer Science, Engineering, Physics, Math)</li><li>Deep experience building layouts using CSS and HTML</li><li>A proven understanding of JavaScript, ideally with some experience using a modern UI framework or library (we use React, but Angular and Vue.js experience counts)</li><li>Exposure working in Java, C#, or a similar object-oriented language</li><li>Ability to…<ul><li>Debug issues in a full-stack environment</li><li>Produce high quality and accurate work</li><li>Estimate the effort of tasks accurately and implement with pace</li><li>Conduct basic data/performance analyses</li><li>Develop collaborative working relationships with direct and cross-functional team members</li><li>Demonstrate the ability to learn and grow from feedback</li></ul></li></ul>Benefits and Perks<ul><li>Work from (almost) anywhere for up to 20 days per year</li><li>Focus on mental health and well-being:<ul><li>Company-paid therapy sessions through SpringHealth</li><li>Subscription to HeadSpace</li><li>Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)</li></ul></li><li>No meeting Fridays</li><li>Paid parental leave</li><li>Generous paid vacation + time off for your birthday</li><li>Paid volunteer time</li><li>Focus on your career growth:<ul><li>Development Dollars</li><li>Leadership development</li><li>Access to thousand of on-demand e-learnings</li></ul></li><li>Travel Discounts</li><li>Employee Resource Groups</li><li>Competitive retirement and health plans</li><li>Free lunch 2 days per week</li><li>Fun quarterly events such as boat trips, arcades, ski trips, Thursday happy hours, and more</li></ul>Diversity, Equity, and InclusionAt OpenTable/KAYAK, we aspire to be a workplace that fosters inclusion and reflects the diverse communities we serve. Hiring people with different backgrounds and perspectives is critical to innovation and to how we deliver great experiences for our users, partners, and teams. We strive to be an open and welcoming environment so that no matter who you are, you can be yourself.We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request an accommodation(s).
#J-18808-Ljbffr

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. We’re also transforming the in-travel experience with our app and new accommodation software. For more information, visit <a href="#">www.KAYAK.com</a>.As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel.<h3>Position</h3>KAYAK Labs seeks resourceful, agile data scientists with a strong interest in solving challenging machine learning problems across a range of domains and modalities, from recommender systems to reinforcement learning to vision to natural language processing. Good candidates will be well-versed in recent advances in machine learning and will be comfortable quickly testing and iterating on new insights. Positions at different levels of seniority are available.KAYAK Labs is a cross-cutting team focused on experimental projects and innovation across the business. Leveraging ML/AI, optimization, and our unique data assets, we aim for novel, impactful products and breakthrough improvements. We seek to distinguish our brand, to delight our users, and to help our customers experience the world with confidence and peace-of-mind.As part of the Labs team, you’ll collaborate with strong researchers and engineers, and your work will have tangible impact. You will be challenged; you will have an opportunity to shape our business and, by extension, the wider travel industry. You will expand your competence and explore new technologies at the intersection of AI, data engineering, computation, and product delivery at scale.Note: This is a hybrid work role for candidates who can join at least 3 days per week in-office.<h3>In this role, you will:</h3><ul><li>Design and implement your own solutions to modeling problems that will improve user experience, and optimize key metrics important to the business.</li><li>Conduct experiments and engage in rapid-prototyping of ideas, making creative use of the data and resources at your disposal.</li><li>Implement designs in a stable, maintainable, and scalable production-ready form.</li><li>Extract, process and leverage large data sets to drive successful projects.</li><li>Engage in group problem-solving, and collaborative team efforts.</li><li>Communicate and share results in a clear and concise manner.</li></ul><h3>Please apply if you are/have:</h3><ul><li>Comfortable with math, statistics, systems design and coding to the extent necessary to tackle industrial machine learning and data science challenges. A PhD in an aligned quantitative field (computer science, statistics, mathematics, operations research, engineering, etc.), is preferred and is a good indicator of sufficient preparation, but is not strictly required: what you can do (or quickly learn to do) is more important.</li><li>Exposure to a minimum introductory level treatment of the core concepts and methods in machine/deep learning, and experience with their application to real-world data science problems.</li><li>Proficient with current Python machine learning development ecosystems: PyTorch or TensorFlow, pandas/polars, scikit-learn, git, etc.</li></ul><h3>Bonus Qualifications:</h3><ul><li>Exposure to software engineering, whether individual or team-based.</li><li>Direct experience applying ML/AI in a business environment, and experience distilling high-level business challenges down to concrete modeling problems.</li><li>Hands-on experience with data engineering principles and methods: ETLs, relational databases, large-scale data frameworks like (Py)Spark.</li></ul><h3>Benefits:</h3><ul><li>4 weeks paid vacation</li><li>Ability to work from almost anywhere</li><li>Day off on your birthday</li><li>Generous retirement plans</li><li>Awesome health, dental and vision insurance plans</li><li>Flexible Spending Accounts</li><li>Headspace Subscription</li><li>No Meeting Fridays</li><li>Drinks, coffee, snacks, games etc.</li><li>Weekly catered lunches</li><li>Flexible hours</li><li>Regular team events/excursions</li><li>Universal Paid Parental leave</li></ul><h3>Diversity and Inclusion</h3>We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer, and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#J-18808-Ljbffr

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. We’re also transforming the in-travel experience with our app and new accommodation software. For more information, visit <a href="#"> www.KAYAK.com</a>.As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each other's strengths and insights. Together, we're able to help people experience the world through dining and travel.Trade your daily grind for a career that lets you show off your passion for travel! Join KAYAK to build the travel tools that our users dream of, and develop your own ideas during our Hack Weeks. Be the first to play with new and innovative travel features (while getting paid for it).We are looking for smart, ambitious, and hardworking developers with a passion for learning and delivering. You will join the Flights UI team in Cambridge, responsible for user experiences that are the face of KAYAK for millions of users every day. You will work closely with other teams, developing innovative features to make shopping for travel simple. If you're an engineer who loves traveling, and wants to help shape the future of the travel meta, we'd love to hear from you!This role is required to work at least 3 days a week from our Cambridge, MA office.In this role you will:<ul><li>Work on Flights product features used by millions of people</li><li>Have end-to-end ownership of the UI, including testing, monitoring and troubleshooting</li><li>Make architectural decisions and build prototypes</li><li>Review and scope feature requests</li><li>Drive technical debt reduction, oversee code quality, and pair with other developers</li><li>Refactor and optimize existing code</li><li>Work with geographically distributed teams</li></ul>Please apply if you have:<ul><li>4+ years of meaningful work experience building web applications</li><li>Bachelor's degree or higher, preferably in a quantitative/technical field (e.g. Computer Science, Engineering, Physics, Math)</li><li>Deep experience building layouts using CSS and HTML</li><li>Advanced understanding of JavaScript, ideally with some experience using a modern UI framework or library (we use React, but Angular and Vue.js experience counts)</li><li>Knowledge of performance considerations, especially with respect to browsers</li><li>Experience working in Java, C#, or a similar object-oriented language</li><li>Ability to…<ul><li>Debug issues in a full-stack environment</li><li>Work independently on solutions and designs with minimal oversight</li><li>Produce scalable, high quality, and accurate work</li><li>Estimate effort accurately and execute with pace</li><li>Show good judgment in architecting software</li><li>Use metrics to validate decision-making</li><li>Own communication to key stakeholders on assigned projects</li><li>Easily relate technical subjects to non-technical audiences</li><li>Demonstrate leadership across teams and business functions</li></ul></li></ul>Benefits and Perks<ul><li>4 weeks paid vacation</li><li>Day off on your birthday</li><li>Generous retirement plans</li><li>Awesome health, dental and vision insurance plans</li><li>Flexible Spending Accounts</li><li>Headspace Subscription</li><li>No Meeting Fridays</li><li>Drinks, coffee, snacks, games etc.</li><li>Weekly catered lunches</li><li>Flexible hours</li><li>Regular events/excursions</li><li>Universal Paid Parental leave</li></ul>Diversity and InclusionWe aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#J-18808-Ljbffr

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. We’re also transforming the in-travel experience with our app and new accommodation software. For more information, visit www.KAYAK.com .
As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel.
Position KAYAK Labs seeks resourceful, agile data scientists with a strong interest in solving challenging machine learning problems across a range of domains and modalities, from recommender systems to reinforcement learning to vision to natural language processing. Good candidates will be well-versed in recent advances in machine learning and will be comfortable quickly testing and iterating on new insights. Positions at different levels of seniority are available.
KAYAK Labs is a cross-cutting team focused on experimental projects and innovation across the business. Leveraging ML/AI, optimization, and our unique data assets, we aim for novel, impactful products and breakthrough improvements. We seek to distinguish our brand, to delight our users, and to help our customers experience the world with confidence and peace-of-mind.
As part of the Labs team, you’ll collaborate with strong researchers and engineers, and your work will have tangible impact. You will be challenged; you will have an opportunity to shape our business and, by extension, the wider travel industry. You will expand your competence and explore new technologies at the intersection of AI, data engineering, computation, and product delivery at scale.
Note: This is a hybrid work role for candidates who can join at least 3 days per week in-office.
In this role, you will: Design and implement your own solutions to modeling problems that will improve user experience, and optimize key metrics important to the business.
Conduct experiments and engage in rapid-prototyping of ideas, making creative use of the data and resources at your disposal.
Implement designs in a stable, maintainable, and scalable production-ready form.
Extract, process and leverage large data sets to drive successful projects.
Engage in group problem-solving, and collaborative team efforts.
Communicate and share results in a clear and concise manner.
Please apply if you are/have: Comfortable with math, statistics, systems design and coding to the extent necessary to tackle industrial machine learning and data science challenges. A PhD in an aligned quantitative field (computer science, statistics, mathematics, operations research, engineering, etc.), is preferred and is a good indicator of sufficient preparation, but is not strictly required: what you can do (or quickly learn to do) is more important.
Exposure to a minimum introductory level treatment of the core concepts and methods in machine/deep learning, and experience with their application to real-world data science problems.
Proficient with current Python machine learning development ecosystems: PyTorch or TensorFlow, pandas/polars, scikit-learn, git, etc.
Bonus Qualifications: Exposure to software engineering, whether individual or team-based.
Direct experience applying ML/AI in a business environment, and experience distilling high-level business challenges down to concrete modeling problems.
Hands-on experience with data engineering principles and methods: ETLs, relational databases, large-scale data frameworks like (Py)Spark.
Benefits: 4 weeks paid vacation
Ability to work from almost anywhere
Day off on your birthday
Generous retirement plans
Awesome health, dental and vision insurance plans
Flexible Spending Accounts
Headspace Subscription
No Meeting Fridays
Drinks, coffee, snacks, games etc.
Weekly catered lunches
Flexible hours
Regular team events/excursions
Universal Paid Parental leave
Diversity and Inclusion We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer, and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#J-18808-Ljbffr

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. We’re also transforming the in-travel experience with our app and new accommodation software. For more information, visit <a > </a>. As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel. <h3>Position </h3>KAYAK Labs seeks resourceful, agile data scientists with a strong interest in solving challenging machine learning problems across a range of domains and modalities, from recommender systems to reinforcement learning to vision to natural language processing. Good candidates will be well-versed in recent advances in machine learning and will be comfortable quickly testing and iterating on new insights. Positions at different levels of seniority are available. KAYAK Labs is a cross-cutting team focused on experimental projects and innovation across the business. Leveraging ML/AI, optimization, and our unique data assets, we aim for novel, impactful products and breakthrough improvements. We seek to distinguish our brand, to delight our users, and to help our customers experience the world with confidence and peace-of-mind. As part of the Labs team, you’ll collaborate with strong researchers and engineers, and your work will have tangible impact. You will be challenged; you will have an opportunity to shape our business and, by extension, the wider travel industry. You will expand your competence and explore new technologies at the intersection of AI, data engineering, computation, and product delivery at scale. Note: This is a hybrid work role for candidates who can join at least 3 days per week in-office. <h3>In this role, you will: </h3><ul><li>Design and implement your own solutions to modeling problems that will improve user experience, and optimize key metrics important to the business. </li><li>Conduct experiments and engage in rapid-prototyping of ideas, making creative use of the data and resources at your disposal. </li><li>Implement designs in a stable, maintainable, and scalable production-ready form. </li><li>Extract, process and leverage large data sets to drive successful projects. </li><li>Engage in group problem-solving, and collaborative team efforts. </li><li>Communicate and share results in a clear and concise manner. </li> </ul><h3>Please apply if you are/have: </h3><ul><li>Comfortable with math, statistics, systems design and coding to the extent necessary to tackle industrial machine learning and data science challenges. A PhD in an aligned quantitative field (computer science, statistics, mathematics, operations research, engineering, etc.), is preferred and is a good indicator of sufficient preparation, but is not strictly required: what you can do (or quickly learn to do) is more important. </li><li>Exposure to a minimum introductory level treatment of the core concepts and methods in machine/deep learning, and experience with their application to real-world data science problems. </li><li>Proficient with current Python machine learning development ecosystems: PyTorch or TensorFlow, pandas/polars, scikit-learn, git, etc. </li> </ul><h3>Bonus Qualifications: </h3><ul><li>Exposure to software engineering, whether individual or team-based. </li><li>Direct experience applying ML/AI in a business environment, and experience distilling high-level business challenges down to concrete modeling problems. </li><li>Hands-on experience with data engineering principles and methods: ETLs, relational databases, large-scale data frameworks like (Py)Spark. </li> </ul><h3>Benefits: </h3><ul><li>4 weeks paid vacation </li><li>Ability to work from almost anywhere </li><li>Day off on your birthday </li><li>Generous retirement plans </li><li>Awesome health, dental and vision insurance plans </li><li>Flexible Spending Accounts </li><li>Headspace Subscription </li><li>No Meeting Fridays </li><li>Drinks, coffee, snacks, games etc. </li><li>Weekly catered lunches </li><li>Flexible hours </li><li>Regular team events/excursions </li><li>Universal Paid Parental leave </li> </ul><h3>Diversity and Inclusion </h3>We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer, and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation. #J-18808-Ljbffr

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. We’re also transforming the in-travel experience with our app and new accommodation software. For more information, visit www.KAYAK.com.

As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel.

Position
KAYAK Labs seeks resourceful, agile data scientists with a strong interest in solving challenging machine learning problems across a range of domains and modalities, from recommender systems to reinforcement learning to vision to natural language processing. Good candidates will be well-versed in recent advances in machine learning and will be comfortable quickly testing and iterating on new insights. Positions at different levels of seniority are available.

KAYAK Labs is a cross-cutting team focused on experimental projects and innovation across the business. Leveraging ML/AI, optimization, and our unique data assets, we aim for novel, impactful products and breakthrough improvements. We seek to distinguish our brand, to delight our users, and to help our customers experience the world with confidence and peace-of-mind.

As part of the Labs team, you’ll collaborate with strong researchers and engineers, and your work will have tangible impact. You will be challenged; you will have an opportunity to shape our business and, by extension, the wider travel industry. You will expand your competence and explore new technologies at the intersection of AI, data engineering, computation, and product delivery at scale.

Note: This is a hybrid work role for candidates who can join at least 3 days per week in-office.

In this role, you will:

Design and implement your own solutions to modeling problems that will improve user experience, and optimize key metrics important to the business.

Conduct experiments and engage in rapid-prototyping of ideas, making creative use of the data and resources at your disposal.

Implement designs in a stable, maintainable, and scalable production-ready form.

Extract, process and leverage large data sets to drive successful projects.

Engage in group problem-solving, and collaborative team efforts.

Communicate and share results in a clear and concise manner.

Please apply if you are/have:

Comfortable with math, statistics, systems design and coding to the extent necessary to tackle industrial machine learning and data science challenges. A PhD in an aligned quantitative field (computer science, statistics, mathematics, operations research, engineering, etc.), is preferred and is a good indicator of sufficient preparation, but is not strictly required: what you can do (or quickly learn to do) is more important.

Exposure to a minimum introductory level treatment of the core concepts and methods in machine/deep learning, and experience with their application to real-world data science problems.

Proficient with current Python machine learning development ecosystems: PyTorch or TensorFlow, pandas/polars, scikit-learn, git, etc.

Bonus Qualifications:

Exposure to software engineering, whether individual or team-based.

Direct experience applying ML/AI in a business environment, and experience distilling high-level business challenges down to concrete modeling problems.

Hands-on experience with data engineering principles and methods: ETLs, relational databases, large-scale data frameworks like (Py)Spark.

Benefits:

4 weeks paid vacation

Ability to work from almost anywhere

Day off on your birthday

Generous retirement plans

Awesome health, dental and vision insurance plans

Flexible Spending Accounts

Headspace Subscription

No Meeting Fridays

Drinks, coffee, snacks, games etc.

Weekly catered lunches

Flexible hours

Regular team events/excursions

Universal Paid Parental leave

Diversity and Inclusion
We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer, and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the worlds leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. Were also transforming the in-travel experience with our app and new accommodation software. For more information, visit www.KAYAK.com. As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel. Position KAYAK Labs seeks resourceful, agile data scientists with a strong interest in solving challenging machine learning problems across a range of domains and modalities, from recommender systems to reinforcement learning to vision to natural language processing. Good candidates will be well-versed in recent advances in machine learning and will be comfortable quickly testing and iterating on new insights. Positions at different levels of seniority are available. KAYAK Labs is a cross-cutting team focused on experimental projects and innovation across the business. Leveraging ML/AI, optimization, and our unique data assets, we aim for novel, impactful products and breakthrough improvements. We seek to distinguish our brand, to delight our users, and to help our customers experience the world with confidence and peace-of-mind. As part of the Labs team, youll collaborate with strong researchers and engineers, and your work will have tangible impact. You will be challenged; you will have an opportunity to shape our business and, by extension, the wider travel industry. You will expand your competence and explore new technologies at the intersection of AI, data engineering, computation, and product delivery at scale. Note: This is a hybrid work role for candidates who can join at least 3 days per week in-office. In this role, you will: Design and implement your own solutions to modeling problems that will improve user experience, and optimize key metrics important to the business. Conduct experiments and engage in rapid-prototyping of ideas, making creative use of the data and resources at your disposal. Implement designs in a stable, maintainable, and scalable production-ready form. Extract, process and leverage large data sets to drive successful projects. Engage in group problem-solving, and collaborative team efforts. Communicate and share results in a clear and concise manner. Please apply if you are/have: Comfortable with math, statistics, systems design and coding to the extent necessary to tackle industrial machine learning and data science challenges. A PhD in an aligned quantitative field (computer science, statistics, mathematics, operations research, engineering, etc.), is preferred and is a good indicator of sufficient preparation, but is not strictly required: what you can do (or quickly learn to do) is more important. Exposure to a minimum introductory level treatment of the core concepts and methods in machine/deep learning, and experience with their application to real-world data science problems. Proficient with current Python machine learning development ecosystems: PyTorch or TensorFlow, pandas/polars, scikit-learn, git, etc. Bonus Qualifications: Exposure to software engineering, whether individual or team-based. Direct experience applying ML/AI in a business environment, and experience distilling high-level business challenges down to concrete modeling problems. Hands-on experience with data engineering principles and methods: ETLs, relational databases, large-scale data frameworks like (Py)Spark. Benefits: 4 weeks paid vacation Ability to work from almost anywhere Day off on your birthday Generous retirement plans Awesome health, dental and vision insurance plans Flexible Spending Accounts Headspace Subscription No Meeting Fridays Drinks, coffee, snacks, games etc. Weekly catered lunches Flexible hours Regular team events/excursions Universal Paid Parental leave Diversity and Inclusion We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer, and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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