HelloFresh · Warszawa, Masovian Voivodeship, Poland
90/100
Warszawa, Masovian Voivodeship, PolandGermanygreenhouse2026-07-31
Warum echter KI-Job: The role explicitly focuses on designing and implementing machine learning models for search optimization, directly impacting marketing ROI. The job description heavily emphasizes statistical analysis, model building, and data-driven strategies.
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & s…
Details Quelle / Bewerbung öffnen
United StatesUSAgreenhouse2026-07-31
Warum echter KI-Job: The role is explicitly focused on building and deploying AI/ML models for customer support, including LLM fine-tuning, RAG, and evaluation. The description highlights a core responsibility for AI innovation and large-scale 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
ChinaUSAgreenhouse2026-07-31
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 LLM evaluation. The description emphasizes the core application of AI/ML to solve real-world problems and tran…
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 StatesUSAgreenhouse2026-07-31
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
ChinaUSAgreenhouse2026-07-31
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 highlights a core responsibility for driving CSxAI initiatives and operating at th…
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 StatesUSAgreenhouse2026-07-31
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
ChinaUSAgreenhouse2026-07-31
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 StatesUSAgreenhouse2026-07-31
Warum echter KI-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 Quelle / Bewerbung öffnen
United StatesUSAgreenhouse2026-07-31
Warum echter KI-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 Quelle / Bewerbung öffnen
United StatesUSAgreenhouse2026-07-31
Warum echter KI-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 Quelle / Bewerbung öffnen