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Airbnb Staff Machine Learning Engineer AI Experience 
United States 
867252478

Today

A Typical Day

  • Architect and develop large-scale AI solutions, from data pipelines and fine-tuning methodologies to multi-step agentic workflows, transforming Airbnb’s platform into a deeply personalized and intelligent concierge.
  • Collaborate with cross-functional partners to develop prototypes that push the boundaries of generative AI, then 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 that uplift team-wide expertise in AI and machine learning.
  • Present progress, insights, and strategic recommendations to senior leadership, influencing the broader AI roadmap at Airbnb.

Your Expertise

  • 5+ years of professional machine learning engineering experience, including proven leadership on AI/ML projects at scale, ideally at the Staff Engineer level or above.
  • 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, translating complex technical concepts into actionable insights for varied audiences.
  • Passion for responsible and ethical AI, designing solutions with guardrails that prioritize accuracy, user trust, and inclusiveness.

How We'll Take Care of You:

Pay Range
$276,500 USD

Offices: United States