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# Staff Machine Learning Engineer, AI Experience

- **Company:** Airbnb
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Fuzz Testing, Machine Learning, Performance Tuning, Cloud Platform System, Large Language Models, Generative AI, Agentic-AI, Machine Learning Operations, Data Pipelines, Data Generation
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_11ec411cac3de1f798c67d71fe06e384

## About the Role

* 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.

## Description

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.