ML Engineer — Production ML & Cloud Pipelines

Booking.com; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Free Headspace access

Global Employee Assistance Program

Pension plan

Annual paid time off

Parental leave

Job summary

Booking.com is seeking a Machine Learning Engineer to develop, train, and deploy sophisticated models for fraud detection, personalization, and marketing optimization. You’ll work with ML scientists, software engineers, and product managers to translate business challenges into scalable ML solutions.

You will manage production-grade ML pipelines on Google Cloud, ensure system health and data quality, and contribute to reusable tooling and innovations across teams.

Qualifications

• Strong working knowledge of big data retrieval and processing tools
• Experience running Machine Learning systems in production with high throughput
• Demonstrable experience with large data sets, experimentation, scalability and optimization
• Experience with data-driven product development: analytics, A/B testing, etc
• Willingness to learn and understand complex business problems related to Booking.com operations
• Proactive attitude and ability to act without waiting for instruction
• Experience in a cloud environment is a plus
• Excellent English communication skills, both written and verbal
• BSc or higher in Computer Science, AI, Software Engineering, or related fields
• Strong coding skills in at least one language (preferably Python); knowledge of Java is a plus

Responsibilities

• Develop, train, and deploy advanced ML models to tackle fraud detection, personalized recommendations, and promotional optimization
• Collaborate with ML scientists, software engineers, and product managers to translate business challenges into ML solutions
• Engage in applied research to innovate, evolve new technologies, and develop reusable models
• Build scalable production-grade data and ML pipelines across the ML lifecycle
• Work with Google Cloud Platform tooling (BigQuery, DataProc, Cloud Composer, Airflow) to maintain ML infra
• Monitor ML systems health (SLIs/SLOs), data quality, and business impact with mitigation plans
• Contribute to tooling and infrastructure improvements across ML teams
• Keep up-to-date with latest technologies and best practices in ML engineering
• Provide high-quality engineering practices and ensure data security and integrity
• Collaborate across the company to scale and extend ML tooling and infrastructure

Skills

Python

Java

Coding & problem solving

English communication

Cloud experience

Big data processing

Education

BSc or higher in CS/AI/SE

Tools

BigQuery

DataProc

Cloud Composer

Airflow

Job description

Booking.com is seeking a Machine Learning Engineer to develop, train, and deploy sophisticated models for fraud detection, personalization, and marketing optimization. You’ll work with ML scientists, software engineers, and product managers to translate business challenges into scalable ML solutions.

You will manage production-grade ML pipelines on Google Cloud, ensure system health and data quality, and contribute to reusable tooling and innovations across teams.