Booking

Senior Machine Learning Scientist role focused on researching, designing, and developing core AI capabilities for an agentic platform at Booking.com. The role involves creating advanced agent strategies, context management, memory systems, and multi-agent patterns, enabling other teams to build and deploy AI agents without deep AI expertise. Emphasis on translating state-of-the-art techniques into production-grade, scalable capabilities.

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.

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.

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.

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.

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.

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.