Personalization Jobs – Seite 2

Warum echter KI-Job: The role is explicitly focused on building and leading the development of large-scale machine learning models for Reddit's recommendation systems. The job description heavily emphasizes ML architecture, strategy, research, and deployment in production.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…

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Warum echter KI-Job: The role explicitly focuses on building and improving machine learning models for personalization, including embedding models and generative AI. The description highlights core ML tasks like candidate generation and ranking model development.

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of mill…

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Warum echter KI-Job: Die Rolle beinhaltet die Entwicklung und Bereitstellung von ML-basierten Such- und Entdeckungsrelevanzmodellen, die tief in NLP, LLMs und Modellbewertung eingebunden sind. Die Aufgaben sind klar auf KI/ML ausgerichtet und stellen den überwiegenden Kern der Ro…

P-1407 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millio…

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Warum echter KI-Job: Die Rolle beinhaltet die Entwicklung und Bereitstellung von ML-basierten Such- und Entdeckungsrelevanzmodellen, die Integration in Databricks-Produkte, sowie die Gestaltung von NLP-Pipelines und Evaluationsrahmen. KI ist der überwiegende Kern der Aufgaben.

P-1407 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millio…

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Warum echter KI-Job: The role explicitly focuses on building and iterating on machine learning models for personalization, designing experiments, and operating in a production environment. The job description heavily emphasizes data science and ML techniques as core responsibilit…

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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Warum echter KI-Job: The role explicitly focuses on building and directing the data and modeling strategy for personalized user journeys, designing and implementing machine learning approaches, and defining standards for model validation. The job description heavily emphasizes AI…

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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Warum echter KI-Job: The role explicitly focuses on building and shipping machine learning models for personalization and growth, designing experiments, and leveraging data science techniques. The description highlights the use of LLMs in the analytical workflow. This is a core d…

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…

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