Fraud Detection ML Engineer | Hybrid, Global Impact, Perks

Booking; Amsterdam; Hybrid; EUR 80,000 - 120,000; Full time

Benefits offered by this job

Hybrid working

Paid time off

Booking.com wallet credits

Product discounts

Genius Level 3 status

Travel discounts

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

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

Job description

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