Senior Machine Learning Engineer

2 weeks ago

Raleigh, United States Traveltechessentialist Full time

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. We are seeking machine learning software engineers to join an ambitious effort to unlock data science potential and bring our research-to-production pipeline to the next level Data science plays a vital, closely integrated function at KAYAK and this role will directly impact every corner of our business. You will have the opportunity to innovate and exercise your inner engineering creativity towards shaping our ML/AI product development process, as well as our in-house platform for conceptualizing, building, and deploying ML models. The role is focused on the implementation, productionization and deployment of models in high-volume production environments; architecting tools and infrastructure to increase data science throughout and reliability; and the design and implementation of software solutions supporting ingestion of large datasets, rapid experimentation/prototyping, and the organization of business metrics. As part of our team, you’ll collaborate with strong applied researchers and engineers around the world, 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 Join KAYAK and expand your competence and explore technologies at the intersection of AI, systems engineering, computation, and product delivery at scale. Positions at different levels of seniority are available. This role requires at least 3 days in office per week. In this role, you will:

Team up with data scientists on the engineering and deployment of machine learning models; bring ML models to production at scale, demonstrating end-to-end ownership Frame, design and implement solutions to ML engineering challenges that arise as we scale and standardize our data science processes Design, build, test, and deploy new libraries, frameworks or full systems while maintaining high standards of testing and code quality Identify and build tools to automate large-scale data management/analysis tasks Monitor and optimize services running in production environments Please apply if you have:

Familiarity with systems design and software engineering to tackle production machine learning engineering challenges. A Bachelor’s degree or equivalent experience in a quantitative field (computer science, engineering, physics, math etc.), is preferred but is not strictly required: what you can do (or quickly learn to do) is more important Good familiarity with Python ML-ecosystem libraries such as PyTorch, PySpark, Pandas, Numpy or scikit-learn Experience with SQL databases Docker/containerization and Linux systems Debugging/detective skills and, ideally, experience debugging production issues Comfortable collaborating in a dynamic, cross-functional team: you know how to listen, ask questions, build consensus, advocate (with data), and share success. You are willing to assume leadership and ownership over technological, business, or team responsibilities Strong written and verbal communication skills with peers and non-technical stakeholders alike. You can explain your plan for solving a business problem clearly, and document your work concisely Benefits and Perks

Ability to work from almost anywhere Day off on your birthday Health, dental and vision insurance plans Flexible Spending Accounts Headspace Subscription No Meeting Fridays 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 Software Corporation, OpenTable, Inc., their respective subsidiaries and Momondo A/S (together, ‘KAYAK and OpenTable”, “our/we/us”, or “Company”) will process your personal data in accordance with applicable data protection laws for the purposes described in our privacy notice (

Germany

and

All Other Locations

). As part of the application process KAYAK and/or OpenTable may share your personal data across our group of companies, subject to our privacy notice and applicable laws. In order to consider you for new positions, KAYAK and/or OpenTable may keep your personal data for 6 months (within the EU) and 2 years (in all other regions), unless otherwise required by applicable law. KAYAK Software Corporation, OpenTable, Inc., their respective subsidiaries and Momondo A/S (together, ‘KAYAK and OpenTable”, “our/we/us”, or “Company”) will process your personal data in accordance with applicable data protection laws for the purposes described in our privacy notice (

Germany

and

All Other Locations

). As part of the application process KAYAK and/or OpenTable may share your personal data across our group of companies, subject to our privacy notice and applicable laws. In order to consider you for new positions, KAYAK and/or OpenTable may keep your personal data for 6 months (within the EU) and 2 years (in all other regions), unless otherwise required by applicable law.

Where do you currently reside?

*

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