is particularly suited to students considering a future PhD who want to develop their ability to investigate research questions, evaluate id
We are looking for a talented graduate to join our AI development team and learn practical AI/ML and data engineering skills.
Entwicklung von Computer-Vision-Lösungen für Qualitätskontrolle und Anomalieerkennung, von der Datenerfassung bis zum Modell im Einsatz - Im
AI Engineer Intern AI Engineer Intern You can find all of our job offers by clicking.
Model quality evaluation: Measure how low-precision computation affects performance on coding and reasoning benchmarks.
Wir schreiben dir, sobald eine neue geprüfte Stelle zu PyTorch dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Collaborate with our core development team to bring machine learning into production - Support the design and training of ML models on large
Collaborate with our core development team to bring machine learning into production - Support the design and training of ML models on large
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
As a PhD research intern in 3D computer vision, you will tackle open research problems in spatial perception and localisation, and explore h
Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic
Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office.
development of physics-guided machine-learning models for composition-process-structure-property relationships in magnesium alloys combinati
Place of Employment: Aachen und Jülich Start Date: To the next possible date Salary: Pay group 13 (80%) TVöD-Bund Application Deadline: The
Interne KI-Nutzung Analyse interner Arbeitsprozesse und Identifikation von Automatisierungspotenzialen Einsatz unseres unternehmensinternen
Hier gestaltest du nicht abstrakte Datenmodelle, sondern schaffst echten Mehrwert.
Entwickelt mit Robotik-Kernteam Wahrnehmungs-, Planungs- und Lernverfahren für autonome Bauroboter und integriert sie in industrielle Systeme.
• Einarbeitung in den Einsatz von Large Language Models (LLMs) mit Agentensystemen, MCP-Schnittstellen, Retrieval-Augmented Generation (RAG)
Entwicklung, Implementierung und Optimierung von Machine-Learning-Modellen auf PoC Level Skalierung von Machine-Learning-Modellen für den Ei
Weiterentwicklung eines datengetriebenen Modells in PyTorch als Proxy eines CFD Strömungslösers Entwicklung eines semi-parametrischen Modell
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is particularly suited to students considering a future PhD who want to develop their ability to investigate research questions, evaluate ideas rigorously and turn them into working s Join us as a Intern - Software Engineer, Spatial AI Agent Platform (m/f/d) Your mission - Define and develop software architecture: translate requirements and research ideas into modular designs, clear interfaces and maintainable implementations. - Research and evaluate emerging architectures and technologies: explore advances in software architecture and AI agent systems, assess their suitability, and prototype their integration into the Spatial AI Agent Platform. - Evaluate and improve system quality: design reproducible experiments and tests, analyze results, and improve software correctness, performance and reliability. - Create end-to-end demonstrations: design and build demonstration tools that communicate the capabilities of the whole system to technical and nontechnical audiences Your areas of expertise - Current enrolment in a Master’s program in Computer Science, Software Engineering, Artificial Intelligence, Electrical Engineering or a related field. - Strong software engineering ability demonstrated through academic, personal, open-source or research projects. - Proficiency in Python and a good understanding of software architecture, design principles, APIs, testing and collaborative development practices. - Practical experience with AI agents, agent orchestration and applications using LLMs or VLMs, gained through coursework, projects or research. - Solid theoretical and practical knowledge of deep learning, including hands-on experience with frameworks such as PyTorch. - Familiarity with spatial reasoning, world models or embodied AI, and motivation to deepen that knowledge. - Curiosity and initiative: willingness to read research papers, compare approaches critically, conduct experiments and communicate findings clearly. - Fluent written and spoken English. By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here.
Your rewards of working here - Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network. - We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen. - To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin. - Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities. - Self-responsible work in a competent, motivated and constantly growing team. Please send your application and CV (incl. cover letter and reference letters) in English.
Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world s population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.
Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic engineering of our products. Riemann Lab is responsible for building Huawei s spatial information technology capabilities. With core technologies such as multimodal, fusion perception, generative mapping and spatial computing, it enables Huawei s ToB and ToC full-scenario businesses in areas such as the HarmonyOS ecosystem (Smartphone, watch, cockpit, XR glasses), wirelessICT, etc.
We are looking for a Master’s student with strong software engineering skills and enthusiasm for research to help build the Spatial AI Agent Platform. This internship combines software architecture, design and implementation with the investigation and evaluation of emerging AI agent technologies. You will work alongside researchers and engineers, taking responsibility across the development lifecycle - from researching approaches and documenting technical designs to implementation, integration, evaluation and demonstration tools.
Knowledge and practical experience in AI agents, agent architectures and orchestration are central to this work.
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