At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends one makes. The journeys one takes. The sights one sees. And the food one samples. Through our products, partners and people, we can empower everyone to experience the world.

　　We're a truly global e-commerce company, with business operations in nearly every country and city in the world. And we want to make it easy for everyone, anywhere in the world, to pay for their travel or do business with our platform - whenever and however it's convenient for them.

　　Machine Learning, and AI in general, are integral to booking.com's goal of making it easier for everyone to experience the world. At the Performance Marketing department we are developing strategies to reach the right customers at the right time. We are developing high-scale machine learning frameworks that capture customer's intent and introduce them to a journey with Booking.com, and work on mastering our bidding and optimization mechanisms within the competitive space of the digital travel industry.

　　What You'll Be Doing:

　　Work in a multi-disciplined, highly skilled team where you'll take full ownership of driving the end-to-end execution of the ML/AI development process, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline Approach complex commercial problems and devise machine learning models to deliver both short-term commercial impact and longer-term differentiated business value and customer experience. Work primarily with the Google Cloud Platform, utilizing technologies like Spark, BigQuery , Airflow and state of the art ML frameworks Maintain a highly cross-disciplinary perspective, solving problems by applying approaches and methods from across a variety of ML/AI disciplines and related fields. Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these, as needed. Collaborate with a wide range of ML teams across the company to improve, share knowledge and innovate What You'll Bring: At least 3 years of relevant work experience as an applied machine learning scientist, developing scalable machine learning models. Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Strong working knowledge of big data technologies Strong working knowledge of Python, Spark, SQL or similar technologies. Ability to execute end-to-end research and development plans, and generate impact through large-scale machine learning model development. Excellent English communication skills, both written and verbal. In Return, We'll Provide:

　　Benefits & Perks: Global Impact, Personal Relevance

　　Booking.com's Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include: Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam. Opportunity to work on a high scale, sophisticated, outstanding product and see the real time impact of your work on millions of travelers worldwide. Be part of a truly international fast paced environment and performance driven culture. Full relocation support for you and your family to move to Amsterdam. We have fine-tuned this process by successfully relocating over 300 Technology professionals to Amsterdam in the last year alone! Performance-based company that offers 29 vacation days, career advancement, and lucrative compensation, including bonuses and stock potential. Discount on Booking.com accommodations with the "Booking Deal" including other perks and benefits for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit. Company-sponsored family and social activities to help our employees become integrated with each other and Dutch culture. Diverse and creative colleagues from every corner of the world. Health, life, and disability insurance Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave. Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country). Industry leading product discounts Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership On-site meals, coffee, and snacks, including healthy and vegan options, daily #ThinkInclusion: Wellbeing & Inclusion at Booking.com:

　　Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

　　Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn't just create an outstanding workplace, it also builds a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make a mark and have a real impact in travel and tech."

　　We will ensure that individuals with disabilities are provided reasonable adjustment to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

　　Pre- Employment Screening:

　　If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.