Booking

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.

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.

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.

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.

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.