Qualifications & Skills:

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.
• Minimum of 5 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
• Strong programming skills in Python (Additional knowledge in Java, Perl and Scala are an advantage).
• Experience with cloud frameworks like AWS sagemaker and training models such as using TensorFlow, PyTorch, lightgbm or scikit-learn.
• Experience with data at scale using MySQL, Pyspark, Airflow, Snowflake and similar frameworks.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, matplotlib and BI tools.
• Proficient knowledge of machine learning algorithms, statistical models, optimization and data structures.
• Experience with experimental design, causal inference, A/B testing, and evaluation metrics for ML models.
• Experience of working on products that impact a large customer base is an advantage
• Excellent communication in English; written and spoken

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 unique-to-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 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

Inclusion at Booking.com: Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

Application Process:

• Let’s go places together: How we Hire
• This role does not come with relocation assistance.

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 (such as media information) that may be necessary for determining your qualifications and suitability for the position.