ChinaUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and enhancing AI models, ML services, and tools for customer support, including LLM fine-tuning, RAG, and LLM evaluation. The description emphasizes the core application of AI/ML to solve real-world problems and tran…
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 f…
Details Open source / apply
United StatesUSAgreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on building and improving frameworks for long-term impact estimation using causal inference methods. The job description details tasks directly related to data science, experimentation, and statistical modeling.
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 f…
Details Open source / apply
ChinaUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and enhancing AI models, ML services, and tools for customer support, including LLM fine-tuning, RAG, and evaluation. The description highlights a core responsibility for driving CSxAI initiatives and operating at th…
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 f…
Details Open source / apply
United StatesUSAgreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on fine-tuning and optimizing LLMs, building AI products, and driving AI initiatives. The responsibilities and qualifications are heavily centered around AI/ML technologies.
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 f…
Details Open source / apply
ChinaUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and enhancing AI models, ML services, and tools for customer support, including LLM fine-tuning, RAG, and evaluation. The description emphasizes the core application of AI/ML to solve real-world problems and drive in…
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 f…
Details Open source / apply
United StatesUSAgreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on building data products using AI and causal inference to understand user behavior, personalize experiences, and drive business impact. The job description highlights the need for expertise in machine learning, data modeling, and…
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 f…
Details Open source / apply
United StatesUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and scaling ML evaluation frameworks for GenAI systems, data flywheels, and driving technical decisions for AI infrastructure. The job description heavily emphasizes ML/AI concepts and requires deep expertise in the…
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 f…
Details Open source / apply
United StatesUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and deploying AI-powered solutions, including agentic systems, content generation, and ML/AI orchestration. The job description heavily emphasizes ML/AI expertise and its application to core business problems.
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 f…
Details Open source / apply
United StatesUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on developing and deploying LLMs, ML models, and AI products. The description details tasks such as fine-tuning LLMs, building AI-powered features, and contributing to the ML platform architecture. The required expertise heavily…
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 f…
Details Open source / apply
United StatesUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and deploying ML models for trust, safety, and fraud prevention. The description highlights a strong emphasis on ML vision, strategy, and hands-on model development. Specific mention of LLMs, GenAI, and Agentic AI fu…
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 f…
Details Open source / apply