Responsibilities

• Develop innovative techniques for the next phase of our online bidding algorithms, including modeling user intent, modeling the online marketplaces, and optimizing our bidding strategy to maximize the efficiency of how we spend our advertising budgets.
• Design and implement scalable evaluation pipelines, including synthetic data generation and benchmarking for model quality, relevance, and consistency.
• Ensure the reliability, efficiency, and scalability of evaluation tools and frameworks in both offline and online environments.
• Conduct in-depth data analysis to define and track evaluation metrics, validate label quality, and explore performance across different traffic siloes.
• Collaborate closely with ML engineers to integrate evaluation components into production pipelines, supporting continuous improvement of bidding applications.
• Work cross-functionally with commercial and analytics teams to align evaluation strategies with business goals and user impact.

Requirements

• Master’s degree or PhD required (Computer Science, Engineering, Mathematics, Artificial Intelligence, Physics)
• Industry or academia knowledge of large scale optimisation techniques or mechanism design or auction theory.
• Experience contributing to innovative machine learning and optimization solutions for large-scale business problems. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.
• Relevant work or academic experience (MSc + 1 year of working experience), involved in the application of Machine Learning to business problems.
• Knowledge of some machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
• Understanding of cross-functional development of machine learning products (e.g. Developers, Commercial, Data Analytics, etc.).
• Working knowledge of Python, SQL/BigQuery, Spark
• Excellent English communication skills, both written and verbal.

Benefits

• 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
• 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