Staff Software Engineer, AI Enablement

Summary

Join Airbnb's AI Enablement team as a Staff Software Engineer and play a critical role in accelerating the development and deployment of AI-powered applications. Collaborate with product teams to enhance iteration speed, application quality, and operational scale. Shape the future of Airbnb's machine learning infrastructure, enabling ML engineers and data scientists to build world-class AI experiences. Work closely with teams across Airbnb, such as Customer Support, Search Relevance, and Trust & Safety, to deliver impactful AI-driven product features. Develop flexible, high-leverage tooling and infrastructure to support the use of foundational models. Rapidly prototype, evaluate, and iterate on GenAI applications. Champion clean abstractions and reusable components that balance speed, scalability, and reliability. Build the future of AI at Airbnb.

Requirements

• 9+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
• Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills
• Deep familiarity with machine learning engineering practices, particularly around training and deploying PyTorch , TensorFlow , or Hugging Face models in production. Prior experience with deploying or supporting production ML systems at scale
• Passionate about AI with a strong grasp of current trends in Generative AI , LLMs , and related technologies
• Fast learner with a bias for execution—able to ramp up quickly on new tools and technologies
• Excellent collaboration and communication skills—able to earn the trust of cross-functional partners and influence without authority

Responsibilities

• Collaborate closely with teams across Airbnb—such as Customer Support, Search Relevance, and Trust & Safety—to deliver impactful AI-driven product features
• Develop flexible, high-leverage tooling and infrastructure to support the use of foundational models (language and vision) across Airbnb
• Work with cutting-edge open-source technologies including LangGraph, Hugging Face, PyTorch, Ray etc
• Rapidly prototype, evaluate, and iterate on GenAI applications that unlock new product capabilities
• Champion clean abstractions and reusable components that balance speed, scalability, and reliability

Benefits

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits