Qureos Mentor

Booking.com

Booking.com is a leading online travel agency that aims to make it easier for everyone to experience the world. The company focuses on leveraging cutting-edge technology to enhance travel experiences and is committed to sustainability, accessibility, and inclusivity in the travel industry. With a diverse range of opportunities for employees, Booking.com fosters a culture of innovation and support, encouraging team members to explore new challenges and contribute to a positive global impact.

<div>Role Description:

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&rsquo;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 &amp; 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 &mdash; without requiring deep AI expertise. We provide a modular, configuration-driven platform where teams compose reusable building blocks &mdash; tools, memory, context management, agent strategies, and system prompts &mdash; 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 &mdash; 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 Responsibilities and Duties:<ul><li>
Research and develop advanced agent strategies - iterative planning, self-correction, multi-step reasoning, and conditional execution paths.</li><li>
Design and build context management and memory systems (session-level and long-term) that enable personalized, improving agent experiences.</li><li>
Research and implement multi-agent patterns - enabling specialized agents to collaborate, share context, and delegate sub-tasks.</li><li>
Help build systematic experimentation and optimization - model selection, strategy comparison, prompt engineering, and architecture decisions backed by quantitative analysis.</li><li>
Build reusable ML components that encode production best practices and are available to all teams through configuration.</li><li>
Collaborate closely with ML engineers to ensure research translates into production-grade capabilities with appropriate latency and reliability.</li><li>
Collaborate with cross-functional teams (product managers, mission teams, platform engineers) to translate business requirements into agent capabilities.</li></ul> 
Qualifications &amp; Skills:<ul><li>
Advanced knowledge and experience in NLP, LLM-based systems, and agentic AI architectures - including tool use, reasoning, retrieval-augmented generation, and agent planning.</li><li>
Experience designing and building production agentic or conversational AI systems at scale.</li><li>
Experience with LLM evaluation and optimization - designing metrics and systematically improving model-based systems.</li><li>
Relevant work or academic experience (MSc + 6 years, or PhD + 4 years), applying Machine Learning to business problems.</li><li>
Masters degree, PhD or equivalent experience in a quantitative field (e.g., Computer Science, Artificial Intelligence, Mathematics, Physics, etc.).</li><li>
Experience designing and executing end-to-end R&amp;D plans. Preferably evidenced by peer-reviewed publications, patents, or open-source contributions.</li><li>
Strong working knowledge of Python and ML/AI frameworks. Experience with LLM APIs and retrieval systems.</li><li>
Experience collaborating cross-functionally in the development of ML-powered products.</li><li>
Excellent English communication skills, both written and verbal.</li><li>
Successfully driving technical and people-related initiatives while communicating with stakeholders at all levels.</li><li>
Leading by example, developing your team and motivating them to achieve their goals. Providing timely feedback and managing key performance indicators</li></ul>
Benefits &amp; Perks - Global Impact, Personal Relevance: 
Booking.com&rsquo;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:<ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li></ul> 
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: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;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&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo; 
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:
This section should provide:<ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul> 
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.</div>

Senior Machine Learning Scientist - Marketplace

<div>Role Description:

This role does not come with relocation assistance 
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&rsquo;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. 
Role and Team Overview
As a Senior Data Scientist in Ranking and Ads, you will work autonomously on impactful strategic business problems, translating them into data stories and delivering insights that inform business decisions across multiple products. The Senior Data Scientist for this team will specialise specifically in Ads. You will design and interpret experiments to guide long-term strategic decisions, build proofs of concept and prototypes, and actively manage stakeholders from operational to Director level. You'll collaborate cross-functionally with Product, Engineering, and Data Engineering teams, writing high-quality, reproducible code to ensure your work lands impactfully and enables solid decision-making across leadership. 
Ranking and Ads Insights is a new and expanding, highly commercial team providing Data Science and Analytics support within Marketplace. Our mission is to power Ads across Booking.com and support Ranking ML teams to show the right properties to the right people. 
Our work enables partners to reach travelers at the perfect moment while preserving customer experience and driving commercial impact. This is a unique opportunity to apply your business awareness to high-stakes initiatives, ensuring your work not only solves complex data problems but actively shapes the strategy for the Ads part of our scope in particular. 
You&rsquo;ll work in a cross-functional team alongside Machine Learning, Data Engineering, and Data Management to support our product vision. Strong commercial acumen and stakeholder management will ensure that your work is impactful and drives business results. 
To get a flavor of the Data Science &amp; ML work at Booking, check out our blog here. 
Key Job Responsibilities and Duties<ul><li>
Responsible for defining the strategy and vision for generating impact in one or more Data Science solutions by driving it from ideation to prototyping to full productionisation.</li><li>
Responsible for proactively identifying and autonomously prioritizing impactful strategic business problems, translating them into data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from product stakeholders in all of the above to determine the right technical solutions to deliver customer value. May seek guidance from the manager on complex business problems.</li><li>
Responsible for driving key projects within the scope of their team to deliver work that informs business decisions across multiple products / business topics in parallel and/or core products / business topics of the area they work in, while self-prioritizing at high velocity. Regularly collaborating across multiple teams.</li><li>
Responsible for designing and interpreting quantitative experiments to objectively drive long-term strategic business decision making.</li><li>
Responsible for autonomously identifying and managing a broad range of stakeholders, from operational to senior managerial roles and, as required, Director level stakeholders. Maintains effective communication, addresses stakeholder needs, and conveys complex analysis results clearly. Continues to guide less experienced colleagues in all of the above, but may seek guidance from the manager in complex situations with senior stakeholders.</li><li>
Responsible for exploring and modifying existing internal and external Data Science approaches. Makes these solutions reusable by designing for easy adoption and proactively educating and upskilling peers on how to effectively utilize these solutions in their work.</li><li>
Responsible for incorporating scalability, reproducibility and long term orientation in the work they do. Regularly sharing best practices with peers in their area.</li><li>
Responsible for acting as a force multiplier for peers in their area by actively helping them with their craft through means of coaching, mentoring and setting a good example.</li><li>
Responsible for contributing significantly to the community of their area by thinking of and implementing ways to make other data professionals more effective (ie. group trainings, community projects), actively participating in community strengthening activities (ie. recruitment) and connecting their area to the rest of the business.</li><li>
Must have a deep understanding of the larger data ecosystem at Booking and how it relates to the work they do.</li><li>
Responsible for proactively collaborating with peers in related crafts (ie. Data Engineering) on all projects owned by their team, anticipating data needs to maintain smooth execution of projects.</li><li>
Responsible for having significant deep knowledge about the operational, tactical and strategic goals of their area (ie. track / vertical) and be knowledgeable of the goals of their wider area (ie. Business Unit).</li><li>
Responsible for ensuring quality of their own work by validating it through peer review.</li><li>
Responsible for influencing business decisions within their wider area (ie. track / vertical).</li><li>
Must be a subject-matter expert in one area of Data Science (ie. methodology, technology) and its application as an end-to-end product that generates business impact, acting as a go-to Data Science authority for senior business stakeholders of their area.</li></ul> 
Role Qualifications and Requirements<ul><li>
Knowledgeable about statistical properties of (good) metrics, and ability to scalably test them</li><li>
Expertise in experimentation and knowledge of causal inference beyond A/B testing</li><li>
Expertise in SQL, Python and familiarity with other languages like R</li><li>
Experience building libraries/modules in python</li><li>
Familiarity with apis using is good, building/maintaining is great</li><li>
Strong understanding of fundamental machine learning concepts</li><li>
Strong knowledge of reporting/visualization techniques (e.g., Tableau, Graphite, Power BI, etc.)</li></ul> 
Benefits &amp; Perks: Global Impact, Personal Relevance<ul><li>
Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)</li><li>
A beautiful sustainable HQ Campus in Amsterdam, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office</li><li>
Commuting allowance and bike reimbursement scheme</li><li>
Discounts &amp; Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends &amp; family Booking.com discount vouchers</li><li>
Free access to online learning platforms, development and mentorship programs</li><li>
Global Employee Assistance Program, free Headspace membership</li></ul> 
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: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;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&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;
 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<ul><li>
The interview process will entail a call with one of our Recruiters and a total of 3 interviews, all conducted via Zoom video conferencing.</li><li>
This role does not come with relocation assistance.</li></ul> 
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.</div>

Senior Data Scientist - Ranking and Ads Insights

<div>Role Description:
<div>
About Us:</div><div>
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&rsquo;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.</div><div></div><div> 
Role Description:</div><div>
As a Machine Learning Engineer (MLE I), you contribute significantly to ML projects, taking ownership of tasks and driving them to completion. You are expected to work independently and proactively, leveraging your technical expertise to solve complex problems while collaborating closely with your team. You focus on technical execution and continuous learning, contributing to our engineering culture by sharing knowledge and insights.</div><div></div><div> 
Understanding our travelers is a top priority at Booking. With millions of accommodations, flights, taxis, attractions, and car rentals available on our platform, we help people around the world find the best options for their journeys. Achieving this requires a deep understanding of traveler preferences, including those explicitly expressed through searches and filters, as well as those inferred from behavioral signals such as clicks and bookings. We also need to accurately interpret traveler intent: Why are they on our platform right now? Are they exploring options or already close to making a decision? Are they continuing a previous session, possibly on another device? And are they extending an existing trip as part of a Connected Trip, or starting an entirely new one?</div><div></div><div> 
The Traveler Intelligence track, part of Booking.com&rsquo;s Marketplace organization, develops the core capabilities that make personalization at scale possible. It brings together traveler data and behavioral signals into a unified, real-time understanding of each traveler, enabling every product surface and AI-driven interaction to become more relevant and timely. By applying advanced Data &amp; AI techniques to interpret behavior and uncover intent, the track helps deliver more personalized, seamless, end-to-end experiences across the entire Booking platform.</div><div></div><div> 
Key Job Responsibilities and Duties:</div><ul><li>
Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-time requirements, monitoring and retraining.</li><li>
Build readable and reusable code, applying code quality best practices and using standard libraries. Choose the right technology or coding methodology as well as refactor and simplify code when necessary.</li><li>
Take full ownership of your services end to end by actively monitoring the systems health, performance and business impact.</li><li>
Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of ML governance processes.</li><li>
Evaluate possible architecture solutions taking into account the business and technology requirements.</li><li>
Set the relevant service level objectives SLOs and act accordingly when they are not met.</li><li>
Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.</li><li>
Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these, as needed.</li><li>
Contribute to the internal ML/AI community by sharing your knowledge and participating in our internal ML programs.</li><li>
Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.</li><li>
Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of disciplines and related fields.</li><li>
Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practicing active listening</li></ul><div></div><div> 
Qualifications &amp; Skills:</div><ul><li>
2+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems in a commercial environment.</li><li>
Experience in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, MLOps, etc.</li><li>
Work experience (or equivalent), involved with the application of Machine Learning to business problems, preferably in a commercial environment.</li><li>
Knowledge of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.</li><li>
Experience with data-driven product development: analytics, A/B testing, etc.</li><li>
Strong working experience in one or more general purpose programming languages; experience with Python and Spark</li><li>
Experience of version control systems</li><li>
Excellent English communication skills, both written and verbal</li></ul><div></div><div> 
Benefits &amp; Perks - Global Impact, Personal Relevance:</div><div></div><div> 
Booking.com&rsquo;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:</div><ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li><li>
Living and working in Amsterdam, one of the most cosmopolitan cities in Europe</li><li>
Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide</li><li>
Working in a fast-paced and performance driven culture</li><li>
Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit</li><li>
Promote and drive impactful and innovative engineering solutions</li><li>
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation</li><li>
Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com</li></ul><div></div><div> 
Diversity, Equity and Inclusion (DEI) at Booking.com:</div><div></div><div> 
Diversity, Equity &amp; 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.</div><div></div><div> 
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;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&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</div><div></div><div> 
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.</div><div></div><div> 
Application Process:</div><div>
This section should provide:</div><ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul><div></div><div> 
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.</div>
Key Skills:

Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, MLOps, Python, SQL, PyTorch, Spark, Snowflake</div>

Machine Learning Engineer I

<div>Role Description:
<h2 class="jobSectionHeader">About Us</h2>
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&rsquo;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 make it easier for everyone to experience the world.<h2 class="jobSectionHeader">
About the team</h2>
This opening is for the ABU ML team within Margin Management of the Accommodation Business Unit (ABU).
The ABU ML team develops causal machine learning systems that power one of Booking.com&rsquo;s biggest customer acquisition channels. We predict which promotional investments will drive genuinely incremental demand and deploy these models in production at scale. The work involves uplift modeling, causal inference under marketplace interference, neural network design for structured data, and rigorous online experimentation.
The team actively contributes to the research community, our recent work &ldquo;Converted Data is All You Need for Causal Optimization of e-Commerce Promotions&rdquo; was published at ACM CIKM 2025. We encourage publishing and conference participation when the work advances the state of the art.<h2 class="jobSectionHeader">
Role Description</h2>
As a Senior Machine Learning Scientist, you will design, build, and deploy uplift models and causal inference systems that allocate promotional spend across Booking.com&rsquo;s accommodation marketplace. The role combines causal methodology, neural network architecture design, and production ML &mdash; with your work validated through large-scale A/B experiments. There are opportunities to publish applied research at top venues when the work contributes novel methodology.<h2 class="jobSectionHeader">
Key Job Responsibilities and Duties:</h2><ul><li>
Design and deploy uplift models that estimate heterogeneous treatment effects, optimising incremental return on investment under budget constraints.</li><li>
Design and execute causal inference methodologies; including observational debiasing (IPW, doubly robust estimation), sensitivity analysis, and interference-aware evaluation to close the gap between offline metrics and online impact.</li><li>
Advance the team&rsquo;s neural network architectures for uplift modeling on tabular data (attention mechanisms, multi-head designs, self-supervised pretraining), balancing model expressiveness with production latency requirements.</li><li>
Research marketplace interference and cannibalization; building frameworks to measure and correct for demand shifting when partial treatment is applied across competing properties.</li><li>
Develop offline evaluation methods that reliably predict online performance, accounting for biases introduced by non-stationary treatment policies and interference effects.</li><li>
Own models end-to-end; from research through A/B experimentation to production calibration.</li><li>
Collaborate cross-functionally with ML engineers on pipeline and serving design, with data scientists on feature engineering, and with product and business stakeholders on spend strategy and ROI trade-offs.</li><li>
Actively coach and mentor less experienced team members, setting technical direction and providing guidance on causal modeling best practices.</li></ul><h2 class="jobSectionHeader">
Qualifications &amp; Skills:</h2><ul><li>
MSc or PhD (or equivalent experience) in a quantitative field such as Computer Science, Statistics, Economics, Econometrics, Operations Research, Mathematics, or Physics.</li><li>
Relevant professional or academic experience applying Machine Learning to business problems (typically MSc + 4 years, or PhD + 2 years).</li><li>
Advanced knowledge and experience in Causal Inference, Uplift Modeling, or Treatment Effect Estimation. Experience with heterogeneous treatment effects, interference / spillover effects, or policy learning is highly valued.</li><li>
Proven track record designing and executing end-to-end R&amp;D plans, and generating measurable impact through large-scale ML model development. Evidence such as peer-reviewed publications, patents, or open-source contributions is a plus.</li><li>
Strong proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch, LightGBM, XGBoost).</li><li>
Solid understanding of experimental design, A/B testing, and statistical methodology &mdash; including awareness of SUTVA violations, selection bias, and observational study limitations.</li><li>
Experience working with large-scale data systems and production ML pipelines (Spark, Airflow, or similar).</li><li>
Experience with neural network design for structured/tabular data (embeddings, attention, multi-task architectures) is a strong plus.</li><li>
Experience collaborating cross-functionally with developers, analysts, product managers, and other scientists to deliver ML-powered products.</li><li>
Excellent English communication skills, both written and verbal. Ability to communicate complex causal reasoning clearly to both technical and non-technical audiences.</li><li>
Successfully driving technical initiatives and cross-team collaboration while communicating with stakeholders at all levels.</li></ul> 
Benefits &amp; Perks - Global Impact, Personal Relevance:
Booking.com&rsquo;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:<ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li></ul> 
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: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;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&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo; 
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:<ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul>
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.</div>

Senior Machine Learning Scientist - ABU

<div>
 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&rsquo;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.
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Scientist I to join our Travel LLMs and Agentic team in Amsterdam.
 
 
 
 
 About the team:
 
 
 
 The team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&amp;A systems, and free-text search.
 
 
 The team you are applying to is spearheading a research effort to develop leading LLMs, specifically designed for the travel domain and advanced agentic capabilities.
 
 
 This pioneering initiative combines cutting-edge AI research with practical applications, focusing on creating tailored solutions that redefine how travelers plan, book, and experience their journeys.
 
 
 
 Role Description:
 
 
 
 As a Machine Learning Scientist, your work will focus on building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on Booking.com&rsquo;s extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers.
 
 
 
 Key Job Responsibilities and Duties:
 
 
 
 <ul>
 <li>
 Explore and apply state-of-the-art techniques in multimodal machine learning.
 </li>
 <li>
 Train innovative ML models (NLP, CV, LLM-finetuning&hellip;), build algorithms, and engineering approaches to drive business impact..
 </li>
 <li>
 Coding skills: ensure implementation of reusable frameworks (clean and scalable code).
 </li>
 <li>
 Conduct data analysis with detailed metrics to evaluate model&rsquo;s performance, labels quality, features exploration.
 </li>
 <li>
 Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.
 </li>
 <li>
 Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
 
 
 
 </li>
 </ul>
 
 Role Qualifications and Requirements:
 
 
 
 <ul>
 <li>
 Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and Generative AI models at scale.
 </li>
 <li>
 Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.
 </li>
 <li>
 Relevant work or academic experience (MSc + 6 years of working experience, or PhD + 4 years of working experience), involved in the application of Machine Learning to business problems.
 </li>
 <li>
 Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).
 </li>
 <li>
 Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
 </li>
 <li>
 Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).
 </li>
 <li>
 Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.
 </li>
 <li>
 Excellent English communication skills, both written and verbal.
 </li>
 <li>
 Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
 </li>
 <li>
 Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators
 
 
 
 </li>
 </ul>
 
 Benefits &amp; Perks: Global Impact, Personal Relevance
 
 
 
 Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier for you to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:
 
 
 <ul>
 <li>
 Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.
 </li>
 <li>
 Contribute to a high scale, sophisticated, world-class product and see the real time impact of your work on millions of travelers worldwide.
 </li>
 <li>
 Be part of a truly international fast paced environment and performance driven culture.
 </li>
 <li>
 Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential.
 </li>
 <li>
 Discount on Booking.com accommodations with the &ldquo;Booking Deal&rdquo; including other perks and benefits.
 </li>
 <li>
 Company-sponsored family and social activities to help our employees become integrated with each other and the company's culture.
 </li>
 <li>
 Diverse and creative colleagues from every corner of the world.
 </li>
 <li>
 Health, life, and disability insurance*
 </li>
 <li>
 Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
 </li>
 <li>
 Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
 </li>
 <li>
 Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
 </li>
 <li>
 Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership
 
 
 
 </li>
 </ul>
 
 #ThinkInclusion: Wellbeing &amp; Inclusion at Booking.com:
 
 
 
 Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) 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: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;
 
 
 We will ensure that individuals with disabilities are provided reasonable adjustment to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
 
 
 
 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.
 
</div>

Senior Machine Learning Scientist

<div>Role Description:

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&rsquo;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. 
We&rsquo;re looking for a Senior Machine Learning Scientist I to join our Travel LLMs and Agentic team in Amsterdam. 
About the team:
The team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&amp;A systems, and free-text search.
The team you are applying to is spearheading a research effort to develop leading LLMs, specifically designed for the travel domain and advanced agentic capabilities.
This pioneering initiative combines cutting-edge AI research with practical applications, focusing on creating tailored solutions that redefine how travelers plan, book, and experience their journeys. 
Role Description:
As a Machine Learning Scientist, your work will focus on building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on Booking.com&rsquo;s extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers. 
Key Job Responsibilities and Duties:<ul><li> 
Explore and apply state-of-the-art techniques in multimodal machine learning.</li><li>
Train innovative ML models (NLP, CV, LLM-finetuning&hellip;), build algorithms, and engineering approaches to drive business impact..</li><li>
Coding skills: ensure implementation of reusable frameworks (clean and scalable code).</li><li>
Conduct data analysis with detailed metrics to evaluate model&rsquo;s performance, labels quality, features exploration.</li><li>
Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.</li><li>
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.</li></ul>
Role Qualifications and Requirements:<ul><li>
Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and Generative AI models at scale.</li><li>
Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.</li><li>
Relevant work or academic experience (MSc + 6 years of working experience, or PhD + 4 years of working experience), involved in the application of Machine Learning to business problems.</li><li>
Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).</li><li>
Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.</li><li>
Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).</li><li>
Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.</li><li>
Excellent English communication skills, both written and verbal.</li><li>
Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels</li><li>
Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators</li></ul> 
Benefits &amp; Perks: Global Impact, Personal Relevance
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier for you to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:<ul><li>
Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.</li><li>
Contribute to a high scale, sophisticated, world-class product and see the real time impact of your work on millions of travelers worldwide.</li><li>
Be part of a truly international fast paced environment and performance driven culture.</li><li>
Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential.</li><li>
Discount on Booking.com accommodations with the &ldquo;Booking Deal&rdquo; including other perks and benefits.</li><li>
Company-sponsored family and social activities to help our employees become integrated with each other and the company's culture.</li><li>
Diverse and creative colleagues from every corner of the world.</li><li>
Health, life, and disability insurance*</li><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).</li><li>
Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.</li><li>
Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership</li></ul>
#ThinkInclusion: Wellbeing &amp; Inclusion at Booking.com:
Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) 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: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;
We will ensure that individuals with disabilities are provided reasonable adjustment to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.</div>

<div>Role Description:
<div>
The Director of Architecture exists to make it easier for engineers to do the right thing. The central architecture team succeeds only if it reduces cognitive load for Business Units and makes engineers&rsquo; lives easier in practice. The role leads Booking.com&rsquo;s enterprise architecture and owns the architectural standards and Tech Guiding Principles that guide it, ensuring they create sensible defaults, reduce cognitive load, and align with the company&rsquo;s strategic and technology direction. The Tech Guiding Principles are shaped as a company-wide effort, bringing together architects, principal engineers and senior technical leaders from across Booking.com. The role is not to define the Tech Guiding Principles in isolation, but to bring together the strongest ideas emerging across the Business Units and turn them into a shared technical direction for Booking.com.</div><div></div><div> 
The role leads a central team of Enterprise Architects and senior technical individual contributors, while working across Booking.com to align Business Units on shared architectural direction, sensible defaults and long-term technology choices. It combines direct leadership of a senior architecture team with influence in a federated organisation, and is accountable for turning central architecture capability into measurable impact across the company.</div><div></div><div> 
The Director of Architecture plays a leading role in defining Booking.com&rsquo;s technology enablement model for how teams build, deliver, secure, and run software. Working with Business Units, Building &amp; Running, Core Platforms, Developer Experience, Security and other foundational teams, the role defines the defaults, shared foundations and operating model that reduce friction across the Software Development Lifecycle and Product Delivery Lifecycle.</div><div></div><div> 
The role also helps define how AI changes the way teams design, build, test, release and operate software. This includes identifying where AI can accelerate delivery, improve quality and reduce repetitive work, while ensuring teams have the right feedback loops, safety measures and platform capabilities to adopt it well at scale.</div><div></div><div> 
The Director of Architecture ensures enterprise direction is grounded in practical delivery needs and reflected in how teams build and run software, working through Business Unit architecture teams and senior engineering leaders. Success depends on understanding the pressures Business Unit leaders and engineering teams are under, and using that understanding to make central architecture feel like support rather than interference. The role does not replace solution architecture within the Business Units; it provides enterprise direction, cross-BU standards, interoperability principles and clear decision-making frameworks to reduce friction, avoid unnecessary coupling, and support engineering velocity. Where risk, regulation and compliance demand it, particularly in domains such as FinTech, the role helps ensure the right controls are built into the defaults, tooling and delivery workflows so teams can stay compliant without unnecessary manual gates.</div><div></div><div> 
The role also helps Booking.com deal pragmatically with its existing technology estate. Success is not measured by perfect consistency or full compliance everywhere, but by using data and judgment to help teams fix the biggest risks, reduce the most harmful complexity and improve the parts of the estate that matter most.</div><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Lead and develop a central team of Enterprise Architects and senior technical ICs, setting clear expectations, building a strong senior team and creating the conditions for high impact.</li><li>
Act as a connected leader by developing senior talent, building trust across organisational boundaries, and creating alignment through empathy, service, and influence rather than authority.</li><li>
Define and evolve Booking.com&rsquo;s enterprise architecture, architectural standards and Tech Guiding Principles in line with strategic priorities and long-term technology direction.</li><li>
Lead the Tech Guiding Principles as a company-wide effort, bringing together architects, principal engineers and senior technical leaders to identify the strongest ideas emerging across the Business Units and turn them into shared technical direction and sensible defaults for Booking.com.</li><li>
Play a leading role in defining Booking.com&rsquo;s technology enablement model for how teams build, deliver, secure, and run software across the company.</li><li>
Define the defaults, shared foundations and operating model for software delivery at Booking.com, working with Business Units, Building &amp; Running, Core Platforms, Developer Experience, Security, and other foundational teams.</li><li>
Improve engineering velocity by reducing avoidable coupling, duplication and ambiguity, and by embedding sensible defaults into shared platforms, tooling, guardrails, and reusable patterns.</li><li>
Lead the definition of how Booking.com&rsquo;s SDLC and Product Delivery Lifecycle should evolve as AI changes the way software is designed, built, tested, released, and operated.</li><li>
Provide architectural direction on how AI is used across design, development, testing, release, operations and continuous improvement, with the goal of accelerating delivery, improving quality and making work easier for engineers.</li><li>
Align enterprise architecture with Business Unit solution architecture, ensuring local decisions support interoperability, reduce friction and maintain long-term technology coherence where it matters.</li><li>
Drive greater interoperability across Business Units and systems through clear architectural boundaries, interfaces, contracts and decision rights.</li><li>
Establish clear decision-making frameworks, default paths and exception mechanisms that allow teams to move quickly within clear architectural guardrails.</li><li>
Use data and pragmatic judgment to help teams identify and fix the most important risks in the existing technology estate, rather than driving for theoretical consistency everywhere.</li><li>
Maintain and evolve the Tech Radar to guide technology choices and investment in future-fit capabilities and patterns.</li><li>
Provide enterprise architecture oversight in regulated and high-risk domains, ensuring compliance and risk requirements are met through automated, scalable defaults rather than manual gates.</li><li>
Partner with strategy, product and business leaders to identify future capability needs and reflect them in Booking.com&rsquo;s enterprise architecture and technology direction.</li><li>
Define metrics that measure the impact of enterprise architecture on engineering speed, delivery quality, interoperability, resilience, operational health, and risk reduction.</li></ul><h2 class="jobSectionHeader">
Experience and Skills</h2><ul><li>
Significant experience in software, solution and enterprise architecture within large-scale, distributed technology organisations.</li><li>
Proven experience leading teams of Enterprise Architects and senior technical experts, and building strong senior talent.</li><li>
Strong experience defining and evolving enterprise architecture across business, data, application and technology domains.</li><li>
Proven ability to combine direct leadership of a central team with effective leadership across a federated organisation, using empathy and sound judgment to build trust with Business Units.</li><li>
Strong track record of influencing senior engineering, product and business stakeholders and building alignment across organisational boundaries.</li><li>
Deep understanding of interoperability, architectural boundaries, interfaces, contracts and independently deliverable capabilities.</li><li>
Strong understanding of platform architecture, developer workflows and how sensible defaults can be embedded into shared foundations to improve engineering effectiveness.</li><li>
Experience shaping software delivery models, developer workflows or internal platform strategies in large-scale engineering organisations.</li><li>
Strong understanding of modern SDLC practices and the architectural dependencies required to support efficient, secure and reliable software delivery.</li><li>
Strong technical depth in modern cloud technologies, distributed systems and software architecture, with the judgment to apply that depth to real engineering and product delivery problems.</li><li>
Deep technical credibility in software architecture and distributed systems, with the ability to engage senior engineers and Principal Engineers on complex technical trade-offs, challenge assumptions and make sound architectural judgments.</li><li>
Strong track record of solving hard technical problems in large-scale systems, not only setting direction through influence and communication.</li><li>
Strong understanding of emerging technologies, including AI, and the judgment to apply them in practical ways.</li><li>
Experience defining operating models, controls or decision-making frameworks for AI-assisted engineering workflows is strongly preferred.</li><li>
Strong business acumen and the ability to connect architecture and technology strategy to business priorities and long-term capability building.</li><li>
Experience operating in regulated or high-risk domains where governance, compliance and traceability are important architectural concerns.</li><li>
Strong pragmatic judgment, including knowing when to push for a shared standard and when to allow a Business Unit to diverge for the sake of speed or local effectiveness.</li><li>
Ability to communicate a clear technology vision and translate it into a practical architectural direction.</li><li>
Clear and transparent communication, with the ability to align diverse stakeholders around a common direction and make central architecture feel useful, practical and service-oriented.</li><li>
Ability to create momentum across distributed technical groups and operate effectively in ambiguity and organisational complexity.</li><li>
Sound judgment on where to invest for long-term value, while maintaining a customer-centric and inclusive leadership mindset.</li></ul></div>

Director of Architecture - Tech Standards

Join Booking.com and explore 11   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Booking.com

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