Staff Machine Learning Engineer, AI Experience

Join Airbnb’s AI Experience Team and help build the next-generation platform that leverages generative AI and agentic systems to deliver deeply personalized and adaptive user experiences. As a Staff Machine Learning Engineer, you will lead complex AI initiatives, architect cutting-edge systems, and drive innovation across diverse teams. You will transform the Airbnb app into an ever-evolving platform that knows you, adapts to your needs, and drives our broader mission of creating a world where anyone can belong anywhere., * Architect and develop large-scale AI solutions, from data pipelines and fine-tuning methodologies to multi-step agentic workflows.

• Collaborate with cross-functional partners to develop prototypes that push the boundaries of generative AI and transition them into high-impact production features.
• Develop prototypes that embed state-of-the-art generative AI capabilities, ensuring they meet production-level metrics for reliability, scalability, and ethical alignment.
• Drive data quality, leveraging advanced synthetic data generation techniques and robust analytics to continuously improve AI performance.
• Serve as a technical mentor, conducting knowledge-sharing sessions and code reviews.
• Present progress, insights, and strategic recommendations to senior leadership.

• 9+ years of professional machine learning engineering experience, including proven leadership on AI/ML projects at scale.
• Hands-on experience building and shipping generative AI solutions, emphasizing Retrieval-Augmented Generation (RAG), agentic workflows, and large language models.
• Demonstrated success improving AI data quality through synthetic data techniques, adversarial testing, or advanced data annotation pipelines.
• Strong proficiency in backend engineering and cloud-based architectures that support high-volume, real-time AI workloads.
• Excellent communication skills and a track record of cross-functional collaboration.
• Passion for responsible and ethical AI.

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
• Pay Range: $212,000–$276,500 USD