The Data and Analytics division (DAA1) is Munich Re s hub for data, analytics, and AI-driven innovation.
Entwickelt und implementiert Compiler-Passes und Optimierungen für ML-Workloads auf eigenen ASICs und baut Entwicklertooling für den ML-Compiler.
Key responsibilities in your new role - Application Development: Build and maintain Python based desktop tools for engineering - Tooling Inf
Key responsibilities in your new role - Lifelong learning: Acquire knowledge on plasma etching processing, AI-data readiness and development
AI Engineer Intern AI Engineer Intern You can find all of our job offers by clicking.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Model quality evaluation: Measure how low-precision computation affects performance on coding and reasoning benchmarks.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your way to Scalefree You want to deepen your already learned knowledge from university and apply it practically in projects?
Entwicklung eines Humanoiden-Roboter-Showcases: Gehen lernen, Aufgaben per Sprache entgegennehmen und mit generativer KI lösen.
Your way to Scalefree You want to deepen your already learned knowledge from university and apply it practically in projects?
If you are a member or alumni of a Formula Student team, this is exclusively for you - applying to this role ensures that the people you int
Who are we? Cohere is the leading security-first enterprise AI company.
As a PhD research intern in 3D computer vision, you will tackle open research problems in spatial perception and localisation, and explore h
Entwickelt Softwarekomponenten in C++ und entwickelt sowie evaluiert CV- und ML-Algorithmen für KI-gestützte robotische Chirurgie.
Erforscht und entwickelt neue 3D-Rekonstruktions- und Novel-View-Synthesis-Verfahren, bewertet sie mit Benchmarks und überführt sie in Produktivsysteme.
Erforscht und implementiert neue Verfahren zur 3D-Generierung und Rekonstruktion für World Models und publiziert die Ergebnisse auf Top-Konferenzen.
Supporting senior experts in designing and delivering custom AI solutions Developing new features and enhancing existing platform capabiliti
als Impulsgeber:in Je nach Ihrem fachlichen Schwerpunkt wirken Sie an konkreten Projekten und Lösungen in einem unserer vier IT-Bereiche mit.
Unsere Beschäftigten stellen sicher, dass unsere gemeinsame Währung und das europäische Finanzsystem stabil bleiben.
development of physics-guided machine-learning models for composition-process-structure-property relationships in magnesium alloys combinati
Job Title: Student Assistant – Robotic Hardware & Software (m/f/d) Location: Berlin, Germany Why this role matters Pushing the boundaries of
Application Development: Build and maintain Python based desktop tools for engineering Tooling Infrastructure: Create distribution solutions
Forschung an KI-Algorithmen und ihrer Hardware-Umsetzung: Entwurf von Chips für assoziative Speicher, KAN-Beschleuniger und lokale Lernregeln.
Unterstützung bei der Entwicklung und Umsetzung von AI-Anwendungen Mitarbeit an Projekten rund um Chatbots/Large Language Models (LLMs), For
Join a team shaping the future of analytics: build production-ready frontends, deploy containerized cloud solutions, and create intelligent
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Master s studies (or final year of Bachelor s studies) with a strong academic record in a quantitative field like Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related discipline incl. business administration/economics with a quantitative focus Passion for AI and Data Science with a solid theoretical foundation and methodology Strong analytical and problem-solving skills and an interest in working with complex datasets Structured, reliable and independent approach to work Good communication and presentation skills; consulting or project management experience is a plus First experiences with putting AI and ML theory into practice, preferably in Python or R Additional experience in software tools for data visualization, data engineering, data science and AI is a plus (tools such as PowerBI) Highly motivated with a hands-on mentality Students from countries outside the EU require a German residence-/work permit. The first master s degree may not have been completed before/during the entire internship
As the world s leading reinsurance company with more than 16,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel. Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation. Sounds like you? Push boundaries with us and be part of Munich Re. Our employees are our greatest strength. That s why we offer them a wide range of benefits. You can find some examples below. Unlock your potential
The Data and Analytics division (DAA1) is Munich Re s hub for data, analytics, and AI-driven innovation. DAA1 leverages big data and artificial intelligence to drive decision-making and enhance operational efficiency. Within our division, the Insurance Analytics Platform team focuses on enabling and driving implementation of data, analytics, and AI solutions that turn complex tabular insurance data into reliable, business-relevant insights for internal and external clients.
The team combines data engineering, data science, and analytics expertise to build scalable data products, analytical models, and reporting solutions that support data-driven decision-making across the business. Your Job Our department is looking for interns to support our highly motivated and ambitious team in driving the AI into the organization. Depending on your experience and preferences, various focus areas are possible Participate in end-to-end data science projects, including the communication with shareholders, exploration of datasets, development of reports, and application of statistical or machine-learning methods to derive meaningful insights for business stakeholders Implementation of use cases as part of our enablement support for business units - both traditional data science as well as generative AI Collaborate with colleagues from business, analytics, and IT functions in an interdisciplinary environment, to contribute new ideas and perspectives on emerging topics in data, analytics, and artificial intelligence
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.