Machine Learning Scientist II

Overview

Role

Description:

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. The memories you make.

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

Role Overview:
As a Machine Learning Scientist in Performance Marketing, your work will focus on devising and implementing advanced machine learning and optimization approaches for the next generation of  performance marketing bidding algorithms. Specifically, you will work on optimizing our bidding strategy on top of the most prominent online travel agencies, ensuring our competitive edge in the complex dynamics of the bidding marketplace and online auction mechanisms.

This role requires a unique combination of deep theoretical knowledge around large-scale optimization techniques, auction theory and applying state of the art machine learning methodologies to scalable industrial setups.

• Devise and develop state-of-the-art 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.

• Master’s degree or PhD required (Computer Science, Engineering, Mathematics, Artificial Intelligence, Physics).
• Proven record in devising and developing 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 + 4 years of working experience, or PhD + 2 years of working experience), involved in the application of Machine Learning to business problems.
• Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
• Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, Commercial, Data Analytics, etc.).
• Very strong working knowledge of Python, SQL/Big Query, Spark.
• Excellent English communication skills, both written and verbal.

’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well  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  wallet credit

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.

Take it from our Chief People Officer, Paulo Pisano: “At , the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone.…