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.
Responsibilities:
* 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.
Requirements:
* 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.
Benefits:
* This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
* Pay Range: $212,000--$276,500 USD
How to Apply
Interested in this position? Please submit your resume and cover letter through the application portal.
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