Founded in 2007, Airbnb has evolved from a simple idea of offering a place to stay into a global community of over 5 million hosts welcoming more than 2 billion guests to unique experiences across the world. We are committed to fostering authentic connections and memorable experiences for our guests while empowering hosts to share their spaces and stories.The Community You Will Join:At Airbnb, Machine Learning and Artificial Intelligence are integral to our product offerings. From enhancing Trust and Payments to optimizing Customer Service and Marketing, we harness the power of ML to elevate the experiences of both guests and hosts.The Community Support Products (CSP) Machine Learning team spearheads the CSxAI (Customer Support x Artificial Intelligence) initiatives. Our mission is to leverage Generative AI technologies to create an intelligent, scalable, and exceptional service experience. The team is responsible for developing and refining AI models, ML services, and tools, including LLM fine-tuning, optimization, RAG/Search, and automation of LLM evaluation and testing, as well as feedback-based learning and guardrails for a spectrum of applications within Airbnb.With Airbnb's rich data, complex marketplace, and diverse product offerings, we are committed to pushing the boundaries of AI practice. We invest in long-term innovation to tackle intricate challenges, and we are looking for top-tier ML and AI experts to join our team. The Difference You Will Make:We believe that our current customer experiences are just the tip of the iceberg regarding potential innovations. Science is key to delivering transformative change for our Guests and Hosts at Airbnb.Your role will involve using cutting-edge AI technologies to revolutionize our customer service, creating personalized, user-friendly, and proactive service experiences.Many initiatives you will be working on are in their conceptual stages, providing you with the opportunity to cultivate ideas from inception to production, turning visionary concepts into impactful realities. A Typical Day: Envision, advocate for, and support the development of innovative ML systems, product integrations, and performance optimizations to address real-world challenges.Collaborate cross-functionally with product, design, and engineering teams to craft solutions that enhance our services.
Mar 9, 2026
