United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role is explicitly focused on building and maintaining machine learning systems for traffic classification, adversarial model development, and data pipelines. The job description heavily emphasizes ML lifecycle management, rigorous evaluation, and product…
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…
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United StatesUSAgreenhouse2026-10-30
Warum echter KI-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 Quelle / Bewerbung öffnen
United StatesUSAgreenhouse2026-10-30
Warum echter KI-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 Quelle / Bewerbung öffnen
United StatesUSAgreenhouse2026-10-30
Warum echter KI-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 a core responsibility for AI/ML development and deployment.
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 Quelle / Bewerbung öffnen
ChinaUSAgreenhouse2026-10-30
Warum echter KI-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 Quelle / Bewerbung öffnen
United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on building and productionizing ML models for fraud detection, account security, and trust within the Airbnb platform. The job description details end-to-end ML pipeline development, model evaluation, and leveraging LLMs/GenAI for…
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 Quelle / Bewerbung öffnen
United StatesUSAgreenhouse2026-10-30
Warum echter KI-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 Quelle / Bewerbung öffnen
United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on applying data science methodologies (causal inference, quasi-experimental design) to people-related data. The description highlights the use of AI tools (AirPanda, LLM-based agents) to accelerate analysis and extend research cap…
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 Quelle / Bewerbung öffnen
United StatesUSAgreenhouse2026-10-30
Warum echter KI-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 Quelle / Bewerbung öffnen
ChinaUSAgreenhouse2026-10-30
Warum echter KI-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 Quelle / Bewerbung öffnen