Currently tracking 14 active AI roles, with 252 new openings in the last 4 weeks. Primary focus: Agent · Engineering.
Booking currently has 14 active AI-related job listings. The majority of these roles, 50%, are focused on agents, with application and data roles each representing 14%. Engineering is the dominant function, with 12 roles posted. The company is hiring for roles that frequently mention model serving, agent orchestration, and inference infrastructure. In the last 30 days, Booking has posted 11 new AI roles.
Booking currently has 11 active AI-related roles in our index. The most common open titles are: Data Engineer II - Content Intelligence, Data Engineer II - GenAI, Machine Learning Engineer II - Benefits & Pricing Track, Machine Learning Manager - Recommendations & Smart Positioning, Machine Learning Scientist II - Content Intelligence. Most positions are in Engineering and Research.
Booking's active AI hiring is concentrated in: agents (36%), data (27%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Booking is hiring AI talent in: Netherlands (6 roles), Israel (4 roles), United Kingdom (1 role).
Job postings at Booking most frequently mention: Machine Learning, Python, Market & Technology Trend Analysis, TensorFlow, Supervised Fine-Tuning (SFT).
In the past 30 days, Booking has posted 5 new AI-related roles. That is a -58% change versus the prior 30 days (12 → 5).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Manager - GenAI Foundation Models Manager for a team building and deploying foundation and fine-tuned LLMs for travel-related applications like chatbots, text generation, summarization, and Q&A. Focuses on research, development, and engineering aspects of LLMs, including scalable deployment with minimal latency. | PretrainServe | 9 |
| Machine Learning Scientist II - Content Intelligence Machine Learning Scientist II at Booking.com focused on the Content Intelligence team. The role involves building, training, and deploying content models (Computer Vision, NLP, Generative AI) and in-house LLMs for applications like moderation, translation, AI trip planner chatbot, and content generation. Responsibilities include exploring state-of-the-art techniques, training innovative ML models, engineering reusable frameworks, conducting data analysis, and collaborating with ML engineers and product teams for production deployment. |
| Post-trainAgent |
| 8 |
| Senior Machine Learning Scientist I Senior Machine Learning Scientist role focused on designing, developing, and deploying agentic, ML-powered solutions for customer-facing applications within Booking.com's GenAI Applications team. Responsibilities include building agentic systems, developing evaluation strategies, and collaborating with cross-functional teams to drive business impact. | Agent | 8 |
| Senior Machine Learning Scientist I - GenAI Applications Senior Machine Learning Scientist focused on GenAI Applications within Booking.com's Data & AI Marketplace department. The role involves designing, developing, and evaluating agentic, ML-powered solutions for customer-facing applications like booking search and trip planning, utilizing LLMs, recommendation systems, and agent-based architectures. Key responsibilities include researching, training, fine-tuning, and evaluating models, driving experimentation, and collaborating with cross-functional teams to deploy AI solutions. | AgentPost-train | 8 |
| Senior Machine Learning Engineer I - GenAI Applications Senior Machine Learning Engineer for the GenAI Infra team, responsible for building and deploying the Agents platform at Booking.com. This role focuses on developing and serving GenAI capabilities, including agents, tools, and orchestration, for applications like the AI Trip Planner and free text search. Key responsibilities include deploying ML models, evaluating architecture solutions, developing generative models, integrating models into production, and owning services end-to-end. | AgentServe | 8 |
| Senior Solutions Architect - Data & AI Senior Solutions Architect for Data & AI within the Marketplace business unit, responsible for defining and evolving the architectural north star, partnering with leaders on strategy, and leading the enterprise architecture for Generative AI deployment. The role requires deep technical expertise in large-scale data platforms, end-to-end ML systems, modern AI systems including agentic frameworks, vector databases, and LLM evaluation, as well as cloud-native architectures and regulatory compliance. | AgentServe | 7 |
| Data Engineer II - Content Intelligence Data Engineer II role focused on building and optimizing data pipelines to support Generative AI foundation models and supervised fine-tuning. The role involves working with large textual and image datasets, ensuring data quality for ML models, and collaborating with data scientists and engineers to deliver production-level ML solutions. | DataPost-train | 7 |
| Machine Learning Scientist I - Performance Marketing Machine Learning Scientist role focused on optimizing large-scale ML models for online bidding in performance marketing. The role involves developing advanced ML and optimization techniques for bidding algorithms, modeling user intent and marketplaces, and optimizing bidding strategies to maximize advertising budget efficiency. It also includes designing and implementing scalable evaluation pipelines, synthetic data generation, and benchmarking for model quality. The position requires a strong understanding of large-scale optimization, auction theory, and applying ML to industrial setups, with a focus on end-to-end research-to-production cycles and A/B testing. | AgentEval Gate | 7 |
| Senior Machine Learning Scientist I - Performance Marketing Senior Machine Learning Scientist role focused on optimizing large-scale ML systems for online bidding in performance marketing. The role involves end-to-end research-to-production cycles, from POCs to A/B tests, to drive measurable impact in online auctions. Responsibilities include developing ML systems quality improvement programs, identifying opportunities for process improvement, building proof-of-concepts, writing production-ready code, and contributing to the ML community through training and mentoring. | Ship | 7 |
| AI Backend Software Engineer II - AI Application Platform Software Engineer on the AI Application Platform team, responsible for designing and building the core platform that enables product teams to rapidly develop and deploy AI-powered experiences. This involves tackling complex performance and scaling challenges, shaping AI infrastructure, and collaborating with ML engineers, data engineers, and data scientists to bring intelligent systems into production at scale. The role requires building and maintaining scalable backend services for real-time AI/ML inference, model deployment, and data pipelines, with end-to-end ownership of system reliability and operational excellence. | AgentServe | 7 |
| Machine Learning Engineer II - Benefits & Pricing Track Machine Learning Engineer II on the Benefits and Pricing Optimization team within Marketplace Data & AI at Booking.com. The role focuses on building and enabling ML decisioning for price, discounts, and promotions, impacting the customer journey and business. Responsibilities include model evaluation and optimization, data pre-processing, building and deploying scalable ML models for personalized recommendations, and integrating models into production systems. Requires 5+ years of experience, Python proficiency, experience with cloud ML frameworks (AWS SageMaker), ML libraries (TensorFlow, PyTorch, scikit-learn), big data tools (Spark, Airflow, Snowflake), and causal inference/A/B testing. | ServePost-train | 7 |
| Senior AI Engineer Senior AI Engineer to design and implement a next-generation People Assistant, a conversational AI platform for HR systems, focusing on orchestrating multiple AI agents for seamless employee interaction and transaction completion. | Agent | 7 |
| Senior Software Engineer I - AI Applications - Marketplace Senior Software Engineer role focused on building and deploying AI applications, specifically LLMs and agents, for the consumer travel experience. The role involves designing AI workflow infrastructure, collaborating with ML engineers and data scientists, and ensuring system reliability and operational excellence at scale. | AgentServe | 7 |
| Machine Learning Manager - Recommendations & Smart Positioning Machine Learning Manager for Recommendations & Smart Positioning team at Booking.com. The role involves leading a team of ML scientists to develop and deploy ML solutions for product ordering, recommendations, search optimization, and filters across the platform, managing billions of requests daily. Responsibilities include team building, roadmap definition, technical decision-making, and ensuring the delivery of innovative ML models and AI solutions within production constraints, impacting a large customer base. | ShipPost-train | 7 |
| Machine Learning Engineering Manager - Ranking and Recommendations track Machine Learning Engineering Manager for the Ranking and Recommendations track at Booking.com. This role leads a team focused on foundational ML & Data layers for personalization systems, including search ranking and recommendations. Responsibilities include developing scalable ML infrastructure and pipelines, enabling ML scientists to productionize RecSys solutions, managing ML engineers and data engineers, and collaborating with stakeholders to translate business requirements into ML solutions. The role requires experience in leading ML engineering teams, deploying end-to-end ML models, and working with cloud frameworks and big data technologies. | AgentServe | 7 |
| Senior Data Engineer I - GenAI Foundation Models Senior Data Engineer role focused on building and optimizing data pipelines for GenAI foundation models and supervised fine-tuning. The role involves processing massive textual and image data, ensuring data quality, and providing tools for ML scientists and the analytics community. It requires experience with cloud data pipelines, big data frameworks, and database systems, with a focus on enabling ML model training and product improvement. | DataPost-train | 7 |
| Data Engineer II - GenAI Data Engineer II - GenAI role at Booking.com focused on building and optimizing data pipelines for training and optimizing content models, including GenAI foundation models and supervised fine-tuning. The role involves working with large datasets (petabytes) from various sources to ensure high-quality data for ML platforms and downstream applications, collaborating with data scientists and engineers. | Data | 7 |