Machine learning engineer in fraud detection

Booking; Amsterdam; Hybrid; EUR 80.000 - 120.000; Vollzeit

Benefits dieser Stelle

Hybrid working

Paid time off

Booking.com wallet credits

Product discounts

Genius Level 3 status

Travel discounts

Zusammenfassung

Booking.com is seeking a Machine Learning Engineer to advance fraud detection capabilities. You will build production-ready ML systems, design models and pipelines, and collaborate across teams to ensure reliability and scalability.

The role emphasizes data governance, performance monitoring, and continual learning in a fast-paced environment. You will work in a hybrid setting in Amsterdam, leveraging modern ML tools and platforms to deliver high-impact solutions for travelers and partners

Qualifikationen

• 1+ years of relevant work experience applying machine learning to business problems in a commercial environment.
• Experience with large data sets, experimentation, and ML model deployment.

Aufgaben

• Develop production-ready ML systems focusing on models, features, and pipelines for fraud detection.
• Collaborate with teammates to monitor health and performance of systems and improve reliability.
• Participate in data governance processes and maintain data processing services and storage.
• Evaluate architecture options considering business and technology requirements.
• Set service level objectives (SLOs) and contribute to achieving them.
• Build readable and reusable code with appropriate tooling and product alignment.
• Stay updated on ML/AI developments and upskill as needed.
• Share knowledge through internal ML programs and community participation.
• Apply cross-disciplinary approaches to solve problems.

Kenntnisse

Python

ML

Data analysis

AB testing

Big data

PySpark

Airflow

Snowflake

SageMaker

Causal inference

Tools

Airflow

Snowflake

SageMaker

Recommender Systems

Deep Learning

Information Retrieval

MLOps

Jobbeschreibung

Machine learning engineer in fraud detection

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 you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

• Develop production-ready ML systems, focusing on models, features, and pipelines, with a focus on reliability and scalability.
• Collaborate with others to monitor the health and performance of systems, with guidance from senior engineers.
• Assist in business-related data governance processes, including technical implementation and maintenance of data processing services and storage systems.
• Evaluate possible architecture solutions taking into account business and technology requirements.
• Set relevant service level objectives SLOs and contribute to achieving them.
• Build readable and reusable code, using the right technologies and coding methodologies, applying knowledge of tools and product needs.
• Stay up-to-date with the latest developments in ML/AI and related technologies, as well as upskill on these topics as needed.
• Participate in internal ML programs and share knowledge with others through clear communication.
• Apply a cross-disciplinary perspective to solve issues by considering approaches and methods from various disciplines.
• Achieve mutually agreeable solutions by staying adaptable, communicating ideas clearly, and practicing active listening.
• 1+ years of relevant work experience (or equivalent), involved in applying Machine Learning to business problems in a commercial environment.
• Experience in areas like e.g. PySpark, Airflow, Snowflake, AWS SageMaker, Recommender Systems, Deep Learning, Information Retrieval, Causal Inference, MLOps, etc.
• Work experience (or equivalent) involved with the application of Machine Learning to business problems, preferably in a commercial environment.
• Knowledge of multiple machine learning facets, such as working with large data sets and experimentation.
• Experience with data-driven product development: analytics, A/B testing, etc.
• Strong working experience in one or more general purpose programming languages (Preferably Python).
• Experience of version control systems.
• 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 - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
• 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 and 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, experimental projects, hackathons, conferences and active community participation
• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com