United StatesUSAgreenhouse2026-10-31
Why this is a real AI job: The role explicitly focuses on developing and deploying machine learning models for ranking, recommendation, and personalization within Airbnb's marketplace. The job description highlights building scalable data products and modeling pipelines, designing expe…
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 StatesUSAgreenhouse2026-10-31
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
United StatesUSAgreenhouse2026-10-31
Why this is a real AI job: The role explicitly focuses on building and deploying data-driven models, conducting causal analysis, and leveraging machine learning techniques to improve Airbnb's marketplace and products. The job description highlights the direct impact of data science on…
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 StatesUSAgreenhouse2026-10-31
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 StatesUSAgreenhouse2026-10-31
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 StatesUSAgreenhouse2026-10-31
Why this is a real AI job: The role explicitly focuses on building and productionizing ML models for trust and safety, including LLMs and AI agents. The job description details core ML engineering tasks like feature engineering, model training, deployment, and evaluation – all central…
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 StatesUSAgreenhouse2026-10-31
Why this is a real AI job: The role explicitly focuses on building and deploying AI/ML solutions (LLMs, anomaly detection) for a core business function (payments). The description emphasizes model governance, continuous learning, and engineering excellence in the context of AI. Strong…
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 StatesUSAgreenhouse2026-10-31
Why this is a real AI job: The role is explicitly focused on building and improving machine learning models for query understanding, a core component of Airbnb's search and recommendation system. The description highlights the use of cutting-edge AI technologies, LLMs, and NLP techniqu…
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
ChinaUSAgreenhouse2026-10-31
Why this is a real AI job: The role is explicitly focused on developing and enhancing AI models, ML services, and tools for customer support, including LLM fine-tuning, RAG, and evaluation. The description highlights a core responsibility of building and leveraging cutting-edge AI tech…
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
ChinaUSAgreenhouse2026-10-31
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