Airbnb – KI-Jobs – Seite 3

Warum echter KI-Job: The role explicitly focuses on building and evaluating ML models for fraud mitigation, causal inference, and optimization of payment strategies. Strong emphasis on AI/ML techniques and their application to a core business problem.

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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Warum echter KI-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 Quelle / Bewerbung öffnen

Warum echter KI-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 Quelle / Bewerbung öffnen

Warum echter KI-Job: The role is explicitly focused on building and deploying machine learning models for core Airbnb products (search and recommendations). The description details work with data pipelines, feature engineering, model innovation, serving, experimentation, and ment…

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

Warum echter KI-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 Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and productionizing ML models, data pipelines, and services for core Airbnb products. The job description details extensive experience with ML algorithms, frameworks, and infrastructure. The core responsibility is clear…

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

Warum echter KI-Job: The role explicitly focuses on building end-to-end ranking algorithms, ML models for product use cases, data pipelines, feature engineering, and model serving. The description highlights the application of cutting-edge AI technologies and collaboration with c…

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

Warum echter KI-Job: The role is explicitly focused on developing and deploying AI/ML models (LLMs, Agentic AI) for customer service applications. The job description details specific AI/ML techniques and technologies used in production systems.

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

Warum echter KI-Job: The role explicitly focuses on building and shipping machine learning models for personalization, recommendation systems, and intent modeling. It requires deep expertise in ML algorithms and the full ML lifecycle. LLMs are specifically mentioned as a plus 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 Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for core business functions (pricing, ranking, growth). The description heavily emphasizes data science, experimentation, and AI-driven product understanding. The required expertise…

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