Build models that predict user value, engagement and reward behaviour, and see them live in our product - Run A/B tests on offers, rewards a
Sprachmodelle in Fachanwendungen integrieren: RAG mit Retrieval und Reranking, Tool-Calling, MCP-Server, Multi-Agent-Abläufe Evaluierung auf
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams, mit voller Verantwortung für deinen Bereich.
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams.
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams, mit voller Verantwortung für deinen Bereich.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
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KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world s leading travel search engine.
Definiert die Kamera-Spezifikation für Manipulationsdaten, baut das Bewertungs-Harness und trainiert erste Robotik-Policies auf eigenen Lagerdaten.
Migriert Kunden-Frontends zu Next.js, auditiert Performance und baut vor Ort produktive KI-Agenten mit TypeScript und AI SDK.
Design and ship features in backend services (Java and Spring Boot) and/or web (TypeScript), with AI services in Python or TypeScript where
This role will design and develop technology in partnership with other software engineers in the US, UK, Germany, and Japan.
be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence - work on
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda.
We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda.
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Tabular data breaks the assumptions that make scaling work for language and vision.
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
is linked with our office in Berlin, but we are flexible about hybrid or remote work in Germany.
At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models.
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence -
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Build models that predict user value, engagement and reward behaviour, and see them live in our product - Run A/B tests on offers, rewards and ranking, and work out what actually caused the result - Build and fix the data pipelines your models depend on - Take on new problems with no playbook yet, from first idea to production What You ll Bring - Strong Python and SQL. You use AI tools to move faster, and you still check the output - You get going on a vague problem without waiting for a spec, and you take it further than you were asked - You quickly see which number matters and which question to answer first - Proof that you aim high: a project, result or choice where you went past good enough when nobody asked you to - Bonus: a strong result in a Kaggle challenge, hackathon or competition, or a system you built and fixed yourself when it broke Why Almedia - A small, selective team of very sharp people. We keep it small on purpose, so every hire raises the bar - Equity in Almedia.
Every Berlin-based employee gets a stake, so you share in what you help build - Top-of-market pay as the baseline. Outlier impact gets paid accordingly Small team, high bar. If that sounds like home, apply.
We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Our bar is high, and this is the best place for ambitious builders. Bootstrapped and profitable from day one, Almedia is Germany’s fastest-growing company (FT1000). Join us as we build the global leader in rewards, at a $1bn+ revenue run rate and climbing fast.
Berlin, On-site €60K – €85K + Equity Most Junior Data Scientists spend their first years building dashboards and reporting on what already happened. Here, you ll work on models that run in production and shape what millions of users see every day. You ll join a small team of people who have built and shipped ML systems at scale, and learn from them directly.
You get real problems from week one, and the support to solve them. Show us you can own more, and we ll give you more.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige203 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 81 in der KI-Entwicklung, 63 in Integration & Automatisierung.