Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
Entwickelt theoretische Rahmenwerke und Architekturen für sichere KI-Systeme und beweist probabilistische Sicherheitsgarantien unter Daten- und Rechenbeschränkungen.
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt KI-Modelle in Produktion und überwacht Modell- sowie Infrastrukturleistung.
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.
Own and Evolve Our Infrastructure – You take ownership of our AWS and Hetzner environments and evolve them further – everything as Infrastru
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
Betreibt und skaliert GPU-Cluster für das Training tabellarischer Foundation Models, inklusive Scheduling, Kostenoptimierung und CI/CD-Pipelines.
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Bringt jedes TabPFN-Modell-Release über SAP, Cloud-Marketplaces und Kundenumgebungen live und koordiniert dafür Engineering und Partnerteams.
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
& THE TEAM Join our dynamic Logistics Network Planning team, where you’ll be at the forefront of shaping the future of Zalando’s logistics operations.
Make an Impact by: - Delivering AI and ML solutions that solve real business problems and create measurable value for teams across DCS - Own
Build and ship models that predict user value, engagement, and reward behaviour.
Die KfW nutzt Cloud-Technologien, um Anwendungen mit Künstlicher Intelligenz umzusetzen.
German (C1+) and English required You make sure 10+ software companies get real value out of AI.
Job Title: System Integrator / Software Engineer – Robotic Hand (m/f/d) Location: Berlin, Germany Why this role matters Having secured disru
Baut Signierung, Provenienz und Delta-Updates für KI-Modelle als versionierte Pakete und testet sie auf echter Robotik-Hardware.
Analyse und Identifikation von AI-Use-Cases in Kundenumgebungen Bewertung aktueller AI-Technologien und -Plattformen, prüfen von Lösungskonz
Airteam is a Berlin-based SaaS startup with an AI-powered cloud platform for roofers and solar planners.
Entwirft und betreibt On-Prem- und Hybridplattformen für AI/ML-Workloads auf Kubernetes/OpenShift und verantwortet deren Sicherheit und Compliance.
Multi-Agent-Architektur & Orchestrierung Konzeption und Umsetzung produktionsreifer Multi Agent Systeme mit klar definierten Strategien für
Du treibst Projekte unermüdlich von der Idee bis zur Umsetzung, um den Vertrieb in der Sparkassen Finanzgruppe zu unterstützen Du setzt KI-T
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Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
You have - a MSc or PhD in mathematics, physic, computer science or a related field - published academic papers; machine learning related papers are a plus - a creative mind that likes to solve problems - grounded knowledge about machine learning and deep learning in particular Why us? You will work with an interdisciplinary team of people with a solid background in mathematics and statistics. We offer flexible working hours (full and part time) and have a nice office with good coffee in Berlin Kreuzberg, close to Moritzplatz.
We prefer a hybrid work model, but are open to remote work. We believe in science and support with publishing your research results. Here are short descriptions of some projects we have worked on.
Estimate the amount of solar panels that fit on a roof (computer vision): Given a satellite picture and a ground image of a house, automatically detect certain elements of a roof (including obstacles, dormers etc.) in order to find out how many solar panels fit on it. This involves inferring 3d information from 2d pictures in order to infer the roof pitch. Detect, classify and suggest legal effectiveness of text paragraphs (NLP): Automatically go through thousands of legal documents with the goal to classify dedicated paragraphs and check their legal effectiveness.
This involves converting scans to text, coming up with a labelling scheme (problem modeling), and detecting different paragraphs automatically, before tackling the inference task.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodologies can be further improved in order to achieve better performances in relevant applications; those applications are likely to be connected to either computer vision or natural language processing, however, also more general methodological questions might be of interest (e.g. meta learning, hyperparameter search, efficient training of neural networks) - also work on transferring theoretical insights to practical use cases which are usually part of respective research projects, with the goal of setting new industry standards - be able to publish your results in relevant journals or at machine learning conferences such as ICML, NeurIPS or ICLR - foster our strong connections to academia, keep up to date with advances in machine learning research and actively take part in our company’s collaborative learning and development environment - support the dida team in applying cutting-edge machine learning algorithms
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige208 geprüfte Stellen bei 136 Arbeitgebern, 24 davon ortsunabhängig. 84 in der KI-Entwicklung, 64 in Integration & Automatisierung.