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.
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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.
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