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 |
|---|---|---|
| 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 |
| 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 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 |
| 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 |