AI Job Radar

New AI jobs – Page 20

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10 results on this page. 1385 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

United StatesUSAgreenhouse2026-09-10

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 StatesUSAgreenhouse2026-09-10

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 StatesUSAgreenhouse2026-09-10

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 StatesUSAgreenhouse2026-09-10

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 explicitly focuses on architecting and implementing machine learning solutions, including recommendation engines, ranking systems, and LLMs. It involves leading ML, Data and Product engineers and spearheading ML applications. The description clearly…

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 applying ML models for Trust defense, causal inference, experimentation, and measurement. The job description heavily emphasizes data science techniques as core to the position's 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

United StatesUSAgreenhouse2026-09-10

Why this is a real AI 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…

Details Open source / apply