Senior Machine Learning Scientist

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 make

The journeys you take

The sights you see

And the food you sample

Through our products, partners and people, we can empower everyone to experience the world. 

 

About the team: 

 

This opening is for the Agentic Modeling Team within the Data & AI Marketplace department.

 

The Agentic Modeling team is responsible for enabling mission teams across Booking.com to build, deploy, and continuously improve production-grade AI agents — without requiring deep AI expertise

We provide a modular, configuration-driven platform where teams compose reusable building blocks — tools, memory, context management, agent strategies, and system prompts — into custom agents tailored to their domains

Our SDK and tooling support the full agent lifecycle: building, evaluating, optimizing, publishing, and iterating on agents that power the Connected Trip experience.

 

As a Senior Machine Learning Scientist, you will research, design, and develop the core AI capabilities that power our agentic platform — focusing on agent strategies, reasoning architectures, context management, memory systems, and multi-agent patterns

You will work at the intersection of LLM research and production systems, translating state-of-the-art techniques into reusable, scalable capabilities that teams across Booking.com can leverage through configuration.

 

Key Job

and Duties: 

• Research and develop advanced agent strategies - iterative planning, self-correction, multi-step reasoning, and conditional execution paths.
• Design and build context management and memory systems (session-level and long-term) that enable personalized, improving agent experiences.
• Research and implement multi-agent patterns - enabling specialized agents to collaborate, share context, and delegate sub-tasks.
• Help build systematic experimentation and optimization - model selection, strategy comparison, prompt engineering, and architecture decisions backed by quantitative analysis.
• Build reusable ML components that encode production best practices and are available to all teams through configuration.
• Collaborate closely with ML engineers to ensure research translates into production-grade capabilities with appropriate latency and reliability.
• Collaborate with cross-functional teams (product managers, mission teams, platform engineers) to translate business

  into agent capabilities.

 

Qualifications & Skills:

• Advanced knowledge and experience in NLP, LLM-based systems, and agentic AI architectures - including tool use, reasoning, retrieval-augmented generation, and agent planning.
• Experience designing and building production agentic or conversational AI systems at scale.
• Experience with LLM evaluation and optimization - designing metrics and systematically improving model-based systems.
• Relevant work or academic experience (MSc + 6 years, or PhD + 4 years), applying Machine Learning to business problems.
• Masters degree, PhD or equivalent experience in a quantitative field (e.g., Computer Science, Artificial Intelligence, Mathematics, Physics, etc.).
• Experience designing and executing end-to-end R&D plans

  Preferably evidenced by peer-reviewed publications, patents, or open-source contributions.

• Strong working knowledge of Python and ML/AI frameworks

  Experience with LLM APIs and retrieval systems.

• Experience collaborating cross-functionally in the development of ML-powered products.
• Excellent English communication skills, both written and verbal.
• Successfully driving technical and people-related initiatives while communicating with stakeholders at all levels.
• Leading by example, developing your team and motivating them to achieve their goals

  Providing timely feedback and managing key performance indicators 

Benefits & Perks - Global Impact, Personal Relevance:

 

Booking.com’s Total Rewards Philosophy is not only about

but also about

We offer a competitive compensation and

package, as well unique-to-Booking.com

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 

 

Inclusion at Booking.com: 

 

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 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

and privileges of employment.

 

Application Process: 

This section should provide: 

• Let’s go places together: How we Hire

• This role does not come with relocation assistance.

 

Booking.com is proud to be an

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

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

and suitability for the position.