Machine Learning Researcher Jobs in Berlin

In diesem Job entwickelst du skalierbare AI-Lösungen mit Azure, baust Datenpipelines und integrierst prädiktive Modelle in Unternehmensanwendungen, während du die Datenverwaltung und Sicherheit sicherstellst.

In diesem Job forscht und entwickelt du neue Methoden im Bereich des maschinellen Lernens, fokussierst dich auf effiziente Algorithmen für Computer Vision oder natürliche Sprachverarbeitung und publizierst deine Ergebnisse in Fachzeitschriften und Konferenzen.

Hier entwickelst du datengetriebene Features und ML‑Produkte, baust robuste, skalierbare Architekturen, betreibst MLOps, implementierst Modelle in Produktion und arbeitest agil im Team mit Pair‑Programming.

The Berlin Institute for the Foundations of Learning and Data (BIFOLD) at Technische Universität Berlin (Prof. Dr. Klaus-Robert Müller) is seeking a Research Associate in Machine Learning for an Agility subproject. The agility project will be carried...

Establish and manage research collaborations with academia, industry and commercial partners. Contribute pioneering technical advances to the combination of knowledge graphs and large language models, including hands-on contributions to model code....

Contribute to and drive an ambitious, high-impact, research agenda development on machine learning in the molecular sciences. Develop efficient and expressive machine learning models for biomolecules. Develop strategies for integrating large-scale...

Establish and manage research collaborations with academia, industry and commercial partners. Contribute pioneering technical advances to the combination of knowledge graphs and large language models, including hands-on contributions to model code....

You push the boundaries of state-of-the-art Machine Learning approaches in small molecules research, focusing on uncertainty estimation, navigating chemical spaces, and modeling the properties of small molecules with pharmaceutical applications,...

Principal downstream application domains include, indication expansion, target selection, disease mechanism elucidation, and patient selection, partnering with practitioners in these areas to advance the state-of-the-art. Develop innovative machine...