Work on innovative ML models, algorithms, and engineering approaches with the potential to impact our business. Execute applied research plans to understand, apply, test, evolve, and generalize these technologies into reusable frameworks.
Build reliable and robust ML and AI solutions to address business problems, accounting for constraints of the production environment.
Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining.
Build readable and reusable code, applying in depth knowledge of business area tools and product needs. Choose the right technology or coding methodology by researching and understanding customer needs as well as refactor and simplify code (when necessary).
Monitor product health, performance and business impact and act accordingly when requirements are not met.
Solve issues by applying methods and insights gained from a variety of disciplines. Complete different tasks and navigate into several environments with a short adapting period.
Continuously evolve their craft. Keep up to date with industry and academic standard methodologies, periodically explore new technologies, introduce them to the machine learning community and promote their application in areas where they can generate impact.
Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing,onboarding and mentoring colleagues.
Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with the other central teams.
6+ years of relevant work experience, involved with the application of Machine Learning Engineering to business problems in a commercial environment.
Strong skills in coding and problem solving. Proficiency in at least one programming language; preferably Python and strong command of SQL is strictly required. Knowledge of Java is a plus.
Strong working knowledge of big data retrieval and processing tools
Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.
Experience running Machine Learning systems in production is a must, with knowledge on how to generate predictions for ML frameworks with high throughput.
Experience with data-driven product development: analytics, A/B testing, etc.
Experience working in a cloud environment is a plus.
Willingness to learn and understand complex and multidisciplinary business problems and concepts related to booking.com business operations especially in marketing and finance fields
You have a ‘can do’ attitude and you act proactively and not reactively.
BSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
Excellent English communication skills, both written and verbal.
What we offer:
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier for you 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.
Contribute to a high scale, sophisticated, world-class 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.
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 for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
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*
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.
