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About Us: At Booking.com, 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.

 

About the team: 

This opening is for the GenAI Applications Team within the Data & AI Marketplace department.

The GenAI Applications team is responsible for designing and delivering agentic, ML-powered solutions for some of our most impactful products, including booking search experiences, trip planning, and customer service. The team builds AI-driven applications and conversational agents, such as chatbots and intelligent assistants that significantly enhance the end-to-end customer experience.

 

Role Description: 

As a Machine Learning Scientist II, you will work within a cross-functional team of engineers and product managers to develop, evaluate, and deploy GenAI-powered solutions for scalable, customer-facing applications. Your work will focus on implementing agentic capabilities, contributing to evaluation frameworks, and delivering measurable business impact through data-driven experimentation.

 

Key Job Responsibilities and Duties: 

• Contribute to the design and development of end-to-end agentic systems, ensuring code quality and efficiency in production.

• Build agentic solutions for different tasks and use cases using state-of-the-art techniques

• Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

• Adhere to and promote established best practices in GenAI application development within the team.

• Collaborate actively with team members, participating in code reviews, sharing knowledge, and contributing to a positive team environment.

• Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions. 

• Conduct deep data analysis to evaluate model performance, label quality, features exploration.

• Work closely with ML engineers to ensure and improve the solution’s latency/throughput meets product requirements and ensure deployment of your model to production.

Qualifications & Skills:

• Bachelor’s or master’s degree in Computer Science, Engineering, Statistics, or a related field.

• Minimum of 3 years of experience as a Machine Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions to production.

• Strong understanding and practical experience with Generative AI models, Natural Language Processing and engineering aspects of developing ML.

• Experience executing research and development plans and contributing to large-scale ML applications.

• Experience on multiple ML facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.

• Experience collaborating cross-functionally in the development of ML products (e.g. Developers, Product Managers, UX specialists, etc.).

• Strong working knowledge of Python, LangChain, SQL, and Spark or similar technologies.

• Strong coding practices, including writing and reviewing production-quality, maintainable, and well-tested code, with the ability to effectively leverage modern AI coding assistants while maintaining high standards for correctness, readability, and system design.

• Excellent English communication and presentation skills, both written and verbal.

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 

Diversity, Equity and Inclusion (DEI) at Booking.com: 

Diversity, Equity & Inclusion have 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 Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.” 

 

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

 

Application Process: 

• Let’s go places together: How we Hire

• This role does not come with relocation assistance.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

 

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.