About Us: Booking.com uses data-driven decision making, with technology at our core and innovation everywhere. We’re more than datasets, lines of code, or A/B tests—we’re the experiences of travel: the thrill of a first night, the next morning, the friends you meet, the journeys you take, the sights you see, and the memories you make. Through our products, partners and people, we aim to make it easier for everyone to experience the world.
About the teamAbout the team: The PPC team builds and optimizes large‑scale ML models for online bidding across major search providers, owning one of the industry’s largest performance and auction strategies to keep Booking.com competitive. We run end‑to‑end research‑to‑production cycles—from POCs and modeling to large‑scale A/B testing—driving measurable impact by optimizing auction levers at scale.
Role DescriptionRole Description: As a Senior Machine Learning Engineer in PPC, you will design, build and maintain production‑grade ML systems that directly impact how we invest our marketing budget and set bids across major search partners at scale.
You will work across the ML lifecycle: understanding business problems with stakeholders, shaping data requirements, building and operating the data foundations, building robust feature pipelines on top of our data and ML platforms, and running and monitoring experiments in production. You will collaborate closely with ML scientists, engineers and specialists to develop the next generation of Booking.com performance marketing bidding algorithms. This is a hands‑on engineering role with clear and measurable business impact.
Key Job Responsibilities and DutiesDevelop production‑grade AI systems, from models to features and pipelines, accounting for reliability, scalability, real‑time requirements, monitoring and retraining.
Build readable and reusable code, applying code quality best practices and using standard libraries.
Choose the right technology or coding methodology as well as refactor and simplify code when necessary.
Take full ownership of services end to end by actively monitoring systems health, performance and business impact.
Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of AI governance processes.
Evaluate possible architecture solutions taking into account business and technology requirements.
Set the relevant service level objectives (SLOs) and act accordingly when they are not met.
Build readable and reusable code, using the right technologies and coding methodologies in line with business area tools and product needs.
Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling as needed.
Contribute to the internal ML/AI community by sharing knowledge and participating in internal AI programs.
Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
Maintain a cross‑disciplinary perspective, solving issues by applying approaches from across related fields.
Achieve mutually agreeable solutions by staying adaptable, communicating ideas clearly and practicing active listening.
5+ years of relevant work experience (or equivalent) with application of ML to business problems in a commercial environment.
Advanced knowledge in areas such as GenAI, Agentic Systems, Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, MLOps, etc.
Demonstrable experience with multiple ML facets, including working with large data sets, experimentation, evaluation, scalability and optimization.
Experience with data‑driven product development: analytics, A/B testing, etc.
Strong experience in one or more general purpose programming languages.
Working experience with version control systems.
Excellent English communication skills, both written and verbal.
Benefits & Perks - Global Impact, Personal Relevance: Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well as unique Booking.com benefits which include:
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
Hybrid working including flexible arrangements, and up to 20 days per year working from abroad (home country)
Industry leading product discounts up to 1400 per year for yourself, including Genius Level 3 status and Booking.com wallet credit
Living and working in Amsterdam, a cosmopolitan city
Contributing to a high scale, complex, world renowned product and seeing real‑time impact of your work on millions of travelers worldwide
Working in a fast‑paced, performance driven culture
Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on‑the‑job opportunities, hackathons, conferences and community participation
Competitive compensation and benefits package and perks of working in Booking.com home city
DEI at Booking.com: Diversity, Equity & Inclusion have been a core part of our culture since day one. This ongoing journey starts with our employees, who represent over 140 nationalities and a wide range of backgrounds, genders and orientations.
“At Booking.com, the diversity of our people creates a better and more inclusive travel experience. Inclusion is at the heart of everything we do.”
We ensure that colleagues with disabilities are provided adjustments and tools to participate in the job process and to perform crucial job functions.
Application ProcessLet’s go places together: How we Hire
This role does not come with relocation assistance.
Booking.com is an equal opportunity workplace and an affirmative action employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.
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 that may be necessary for determining your qualifications and suitability for the position.
#J-18808-Ljbffr€80000 - €100000 monthly