• As a Machine Learning Engineer at Booking.com, your work will focus on training and deploying machine learning models (Classification, Deep Learning, Optimization, Natural Language Processing, Active Learning) using the most advanced technologies and models. You will be responsible for identifying and using the most appropriate data sources and modeling techniques to solve complex problems and drive measurable business value
• You will also help in building new products and solutions by driving a research agenda and development plan from ideation to prototyping to full productionisation in the team, and using opportunities to contribute to a vibrant department’s ML community
• 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

Benefits

• Health insurance
• Free access to Headspace for you and your loved ones
• Global Employee Assistance Program
• Meditation and Breastfeeding rooms at the office
• Booking Cares - 2 days per year to volunteer and learn
• Life insurance
• Disability insurance
• Pension plan
• Annual paid time off
• Parental leave - 22 weeks
• Grandparent leave - 10 days
• Care leave - 10 days
• Bereavement leave - up to 4 weeks
• Anniversary leave
• Working from Home Furniture and Ergonomic Support
• Working from Abroad - up to 20 days per year
• Discounts & Wallet credits to spend on our products
• Upgrade to Booking.com Genius Level 3
• Friends & Family Booking.com discount vouchers
• Free access to online learning platforms
• Development and mentorship programs to support career growth
• Access to trainings and workshops
• Team development opportunities
• Local discount programs
• Game rooms in offices
• On-site meals, coffee and snacks including vegan options

• 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
• Work experience (or equivalent) involved with the application of Machine Learning to business problems, preferably 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
• Experience with the Fraud domain is a plus
• Experience of version control systems
• Strong working experience in one or more general purpose programming languages (Preferably Python)
• 1+ years of relevant work experience (or equivalent), involved in applying Machine Learning to business problems in a commercial environment