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Machine Learning Engineer, AI

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Airbnb
Full Time position
Listed on 2026-01-17
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 212000 - 276500 USD Yearly USD 212000.00 276500.00 YEAR
Job Description & How to Apply Below
Position: Staff Machine Learning Engineer, AI Experience

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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