Senior Machine Learning Engineer

About us:

At , data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make.

Through our products, partners and people, we make it easier for everyone to experience the world.

The Booking Ads ML team builds Machine Learning solutions that power Ads across , enabling partners to reach the right travellers at the right moment while preserving customer experience and conversion. Based in Amsterdam, the team works cross-functionally with Data Science & Analytics and Data Engineering, and closely with Product and Engineering, to tackle large-scale, high-impact problems using advanced ML on complex data.

As part of a fast-growing domain, the team plays a key role in scaling the Ads business and shaping how advertising integrates seamlessly into the  platform.

As a Senior ML Engineer I in the Booking Ads ML team, you will be responsible for operationalizing and scaling Machine Learning models that power Ads across  You will design and build robust ML pipelines, deployment frameworks, and monitoring solutions, ensuring models are reliable, performant, and easy to iterate on. Working closely with ML Scientists, Product, Engineering, DS&A, and Data Engineering, you will enable rapid experimentation and production excellence, contribute to shared ML tooling and platforms, and help raise the bar for ML engineering practices within the Ads domain.

• • Work in a multi-disciplined, highly skilled team where you will be developing scalable production-grade data and ML pipelines across the entire ML cycle while working closely with the teams’ applied machine learning scientists
  • Work primarily with the Google Cloud Platform, utilizing and maintaining the infrastructure for technologies like Big Query, Data Proc, Cloud Composer, Airflow and diverse set of ML frameworks
  • Be responsible for SLIs/SLOs for ML systems, ensure system and model health, monitor data quality, performance and business impact, and devise mitigation plans
  • Drive a culture of quality for all ML practitioners, maintain data security, integrity and quality, and make choices over the right technologies and coding methodologies.
  • Identify underlying issues and opportunities across the ML development cycle and introduce tools to be used within and outside the team for efficient development and testing.
  • Continuously evolve your craft, keeping up to date with the latest technologies.
  • Collaborate with relevant ML teams across the company to improve, scale and extend machine learning tooling and infrastructure.

• 3+ years of relevant work experience, involved with the application of 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 and strong command of SQL is strictly required. Knowledge of Java is a plus.
• Strong working knowledge of big data retrieval and processing tools
• Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.
• Experience running Machine Learning systems in production is a must, with knowledge on how to generate predictions for ML frameworks with high throughput.
• Experience with data-driven product development: analytics, A/B testing, etc.
• Experience working in a cloud environment is a plus.
• Willingness to learn and understand complex and multidisciplinary business problems and concepts related to  business operations especially in marketing and finance fields
• You have a ‘can do’ attitude and you act proactively and not reactively.
• BSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
• Excellent English communication skills, both written and verbal.

’s Total Rewards Philosophy is not only about…