Netherlands, AMSTERDAM
Role Description:
As a Machine Learning Engineer (MLE I), you contribute significantly to ML projects, taking ownership of tasks and driving them to completion. You are expected to work independently and proactively, leveraging your technical expertise to solve complex problems while collaborating closely with your team. You focus on technical execution and continuous learning, contributing to our engineering culture by sharing knowledge and insights.
Understanding our travelers is a top priority at Booking. With millions of accommodations, flights, taxis, attractions, and car rentals available on our platform, we help people around the world find the best options for their journeys. Achieving this requires a deep understanding of traveler preferences, including those explicitly expressed through searches and filters, as well as those inferred from behavioral signals such as clicks and bookings. We also need to accurately interpret traveler intent: Why are they on our platform right now? Are they exploring options or already close to making a decision? Are they continuing a previous session, possibly on another device? And are they extending an existing trip as part of a Connected Trip, or starting an entirely new one?
The Traveler Intelligence track, part of Booking.com's Marketplace organization, develops the core capabilities that make personalization at scale possible. It brings together traveler data and behavioral signals into a unified, real-time understanding of each traveler, enabling every product surface and AI-driven interaction to become more relevant and timely. By applying advanced Data & AI techniques to interpret behavior and uncover intent, the track helps deliver more personalized, seamless, end-to-end experiences across the entire Booking platform.
Key Job Responsibilities and Duties:
- Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-...
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