3 jobs found in Wiesbaden

Location: Rhine-Main area (Frankfurt/Wiesbaden) / hybrid Symbiosika - AI-driven robotics About us: At Symbiosika, we are developing a cognitive service robot for indoor use. Your mission: As a VLA AI Engineer, you will build the next generation of multimodal AI models that seamlessly combine visual perception, speech understanding, and robotic actions. You will develop: - scalable data pipelines for collecting, annotating and processing multimodal datasets. - End-to-end training & fine-tuning workflows for Vision-Language-Action models - Tools and processes for evaluating and optimizing VLA architectures - Stable production infrastructure for model deployment and monitoring What you bring: Must-have: - Software nerd and AI enthusiast - Practical experience in training and fine-tuning large multimodal machine learning models (VLA, VLM, LLM) => Please provide references! Nice-to-have: - Robotics experience (teleoperation, simulation,...

Who we are / What we do LINK2AI GmbH is a startup that enables the responsible and secure use of language models in companies. To achieve this, we are building a platform that monitors the use of LLMs at runtime, thereby preventing potential problems. We develop and utilize state-of-the-art techniques to effectively address these emerging challenges. How you fit into our team You show initiative and are able to independently design and implement concepts. You are creative, enjoy scientific work and expert discussions. You want to bring the latest research and development results to market maturity. Your language skills in German and English are good. You have relevant practical experience IMPORTANT: You can meet with the team in Frankfurt at least once a week. Your tasks Conception, development and testing of NLP analysis methods Further development of an internal tool for the automated generation of training datasets Qualifications: What...

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work on machine learning challenges at the intersection of software, hardware, and performance. Your work will help us build intelligent systems that understand complex workloads and improve how software runs on modern processors. What you will be doing : Develop and improve deep learning models that support our core optimization and search systems Explore...