Staff Machine Learning Engineer

Summary

Join Airbnb's AI Enablement team as a Staff Software Engineer and accelerate 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, empowering ML engineers and data scientists. Work on impactful AI-driven product features with teams like Customer Support, Search Relevance, and Trust & Safety. Develop flexible tooling and infrastructure to support foundational models. Prototype, evaluate, and iterate on GenAI applications. Champion clean abstractions and reusable components. This role is US-Remote Eligible with occasional office work.

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
• Build flexible GenAI Tooling to accelerate the efforts of Airbnb teams using foundational language / vision models to power next-gen product experiences
• Work with cutting-edge open-source technologies including LangGraph, Hugging Face, PyTorch, Ray etc
• Use OSS technologies such as LangGraph, Hugging Face, PyTorch, Ray, Kubernetes, JupyterHub, 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