Machine Learning Researcher (all genders) - Hybrid, Berlin
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
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 Grundlagen und Sicherheitsgarantien für neue KI-Architekturen (Scientist AI) und beweist diese formal.
This role is for engineers who care about velocity and solving real customer problems.
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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You will build and iterate on internal tools and products, integrating AI capabilities into our systems.
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As an AI Product Manager, you ll work on products in our AI audit toolbox alongside engineers, designers, auditors and our founders.
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers.
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
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 website. Technical blogs, webinars, and product videos.
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As a Research Scientist at ClickHouse Labs, you will work on high-impact problems at the intersection of database systems, distributed syste
Build and ship models that predict user value, engagement, and reward behaviour.
Berät Kunden zur Sichtbarkeit in ChatGPT, Gemini und Google AI Mode, misst KI-Sichtbarkeit und leitet Maßnahmen ab.
Die KfW nutzt Cloud-Technologien, um Anwendungen mit Künstlicher Intelligenz umzusetzen.
Hybrides Arbeiten am Standort Köln, München oder Wien mit vielen weiteren kreativen Menschen.
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
Was Du bei uns machst Vor Ort verstehen: Mit Fachabteilung und IT herausfinden, wo Zeit verloren geht und welche Daten wo liegen Bewerten: U
Was du bei uns machst Technische Umsetzung beim Kunden: Architektur, Integration und Inbetriebnahme von KI-Lösungen (LLMs, RAG, Agentic AI,
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 Originalanzeige215 geprüfte Stellen bei 134 Arbeitgebern, 23 davon ortsunabhängig. 82 in der KI-Entwicklung, 70 in Integration & Automatisierung.