Booking.com is hiring a Machine Learning Engineer

Booking.com is hiring a Machine Learning Engineer to join the Financial Planning & Analysis team and its ‘Forecast of the Future’ program. You will be responsible for designing, developing, deploying, and maintaining machine learning solutions that power our financial forecasting and budgeting processes.

What You'll Do

• Develop scalable, production-grade data and ML pipelines across the entire machine learning lifecycle.
• Develop, implement, and optimize time series forecasting and regression models for financial planning, budgeting, and scenario analysis.
• Support the implementation of ML pipelines using MLOps principles, ensuring robust CI/CD, reproducibility, and model governance.
• Leverage AWS SageMaker for model development, training, deployment, and lifecycle management.
• Develop, schedule, and orchestrate data and ML workflows using Airflow.
• Monitor model performance, detect model drift, and implement retraining strategies.
• Ensure data quality, feature engineering, and preprocessing of large, complex financial datasets.
• Drive a culture of quality for all ML practitioners, maintaining data security, integrity, and quality.
• Continuously evolve your craft, keeping up to date with the latest technologies.

What We're Looking For

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.
• 2+ years of relevant work experience applying Machine Learning Engineering to business problems in a commercial environment.
• Strong skills in coding and problem solving.
• Proficiency in at least one programming language; preferably Python.
• Strong command of SQL is strictly required.
• Experience running Machine Learning systems in production is a must.
• Proficiency in Airflow & AWS SageMaker for end-to-end ML workflows.
• Solid understanding of cloud platforms, containerization, and version control (e.g., Docker, Git).
• Proven experience building and deploying forecasting models (time series, regression) in a financial or business analytics context.
• Willingness to learn and understand complex and multidisciplinary business problems and concepts related to Booking.com's business operations, especially in finance.
• You have a ‘can do’ attitude and you act proactively and not reactively.
• Excellent English communication skills, both written and verbal.

Nice to Have

• Knowledge of Snowflake is a plus.
• Knowledge of PlanIQ (Anaplan) is a plus.
• Familiarity with additional AWS services (e.g., Lambda, ECS, CloudWatch) and infrastructure-as-code tools is a plus.

Technical Stack

• Python, SQL
• AWS SageMaker, Airflow
• Docker, Git
• Snowflake, Anaplan PlanIQ

Team & Environment

You will be part of the Financial Planning & Analysis team, working specifically within the 'Forecast of the Future' program.

Benefits & Compensation

• 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.
• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe.
• 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.

Work Mode

This is a hybrid role based in Amsterdam.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.