waypointjobs

Airbnb

Staff Machine Learning Engineer, AI Experience

san francisco, CA

Check who can apply and the requirements below before continuing.

About this opportunity

Airbnb lists this Staff Machine Learning Engineer, AI Experience opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Overview

Airbnb 11 April 2025

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.

Qualifications

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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Worksite address

san francisco, CA, 94199, US

Who can apply

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