Machine Learning Engineer II
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan fo…
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Core ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and more! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.
We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.
Champion the development of novel ML systems, product integrations, and performance optimiz
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan fo…
WeSort ist ein Hightech-Start-up aus Würzburg, das KI-basierte Recyclinglösungen entwickelt und damit einen wichtigen Beitrag zur Kreislaufw…
Define and design machine learning solutions using AI tools and platforms (no model coding required) Identify business problems and map them…
About the job. As part of the development of our Digital Services function, we are recruiting to strengthen our internal digital capability.…
About the job. As part of the development of our Digital Services function, we are recruiting to strengthen our internal digital capability.…
About the job. As part of the development of our Digital Services function, we are recruiting to strengthen our internal digital capability.…