Toronto, ON, CanadaGermanygreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and operating the core ML systems for menu personalization, owning the entire stack from feature pipelines to model serving. The description emphasizes technical leadership in ML and data engineering, with a strong f…
About HelloFresh At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10-year anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. N…
Details Open source / apply
Toronto, ON, CanadaGermanygreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and operating the ML systems behind menu personalization, owning the entire stack from feature pipelines to model serving. The description emphasizes a deep understanding of ML principles and hands-on experience with…
About HelloFresh At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10-year anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. N…
Details Open source / apply
Toronto, ON, CanadaGermanygreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and operating production ML systems for menu personalization. The description emphasizes ownership of the entire ML stack, from feature pipelines to model serving and experimentation. Strong focus on data science and…
About HelloFresh At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10-year anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. N…
Details Open source / apply
HelloFresh · Warszawa, Masovian Voivodeship, Poland
95/100
Warszawa, Masovian Voivodeship, PolandGermanygreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on building and deploying reinforcement learning models (contextual bandits) for optimizing communication channels and personalizing user experiences. The job description details tasks like model building, experimentation, producti…
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…
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Berlin, GermanyGermanygreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on leading ML engineering teams and driving the strategy for ML-heavy systems (benefit recommendation, personalization, customer lifetime value forecasting). The description emphasizes building AI-native practices and owning MLOps.…
The CVO Tribe CVO owns two of HelloFresh's largest economic levers: benefit optimization and pricing . The tribe uses machine learning, personalization, and lifetime-value prediction to replace manual, rules-based decisioning with data-driven systems. The engineering org is globally distributed acr…
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Toronto, ON, CanadaGermanygreenhouse2026-09-10
Why this is a real AI job: The job description explicitly focuses on building, deploying, and maintaining machine learning models, AI solutions, MLOps pipelines, and Generative AI applications. The role requires hands-on experience with relevant technologies and frameworks, indicating…
The Senior Data Scientist is responsible for building, testing, and deploying statistical and machine learning models, and conducting data deep dives which drive a better understanding of our customers, products, and operations. Reporting to the Senior Manager, Data Science and Engineering, this ro…
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United StatesUSAgreenhouse2026-09-10
Why this is a real AI 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…
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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