United StatesUSAgreenhouse2026-09-10
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 StatesUSAgreenhouse2026-09-10
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 StatesUSAgreenhouse2026-09-10
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
United StatesUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on leading ML/Data engineering teams and driving AI initiatives from concept to production. The description highlights building data pipelines for both business and AI needs, defining success metrics tied to ML work, and applying m…
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 StatesUSAgreenhouse2026-09-10
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
ChinaUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and enhancing AI/ML models, LLM fine-tuning, and AI-powered customer service solutions. The description highlights core AI tasks and responsibilities.
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
ChinaUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and deploying ML/AI solutions for customer service, including LLM fine-tuning, RAG, and AI model evaluation. The description emphasizes a core responsibility for AI/ML systems and innovation.
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 StatesUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on developing and deploying AI/ML models (LLMs, Agentic AI) for customer service applications. The job description highlights core AI tasks like model training, fine-tuning, and productionization. The required expertise is heavi…
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 StatesUSAgreenhouse2026-09-10
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 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 Open source / apply
Remote-USAGlobalgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on designing, building and deploying AI solutions combining graph databases and LLMs. It requires deep understanding of both technologies and translating customer needs into production-ready applications.
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-d…
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