Summary
✨ AI‑Generated
Join a fast-growing deep-tech research team working at the intersection of quantum computing and artificial intelligence. You will design and improve language models, develop quantum-inspired compression techniques, evaluate and fine-tune LLMs, and build applications such as RAG systems and AI agents.
Highlights
Research-oriented role working on advanced quantum-inspired and AI techniques, with opportunities to design and optimize language models, build RAG and agent systems, and contribute to challenging cross-industry projects.
Description
We're working for a well-funded, fast-growing deep-tech company, founded in 2019 and now 180+ strong.
We're the largest quantum software company in the EU, and have been named twice by a leading industry analyst as one of the world's 100 most promising AI companies.
The role
You'll use cutting-edge quantum and AI technologies to lead the design, implementation and improvement of our language models, working closely with cross-functional teams to bring them into our products.
Expect challenging projects, real research, and the chance to shape the future of LLM and NLP technology.
What you'll do
Design and develop new quantum-inspired techniques for compressing Large Language Models, tackling tough use cases across industriesRun rigorous evaluations and benchmarks, then fine-tune and optimise LLMs for accuracy, robustness and efficiencyBuild LLM-based applications such as RAG systems and AI agentsAssess model strengths and weaknesses, and propose novel ways to improve performanceAct as a domain expert in LLMs, spotting opportunities for quantum AI-driven innovationDocument your development processes, experiments and results thoroughlyMentor junior colleagues and share your knowledge to foster a culture of continuous learningTake part in code reviews and give constructive feedbackKeep up with the latest LLM advances and recommend new tools and technologies
What we're looking for
Bachelor's, Master's or PhD in AI, Computer Science, Data Science or a related fieldMid-level: 2+ years of hands-on experience with deep learning and neural networks, ideally with LLMs and TransformersSenior: 5+ years of hands-on experience with deep learning and neural networks, ideally with LLMs and Transformer architectures, or computer vision models2+ years working with LLM and Transformer models, with excellent command of HuggingFace Transformers, Accelerate, Datasets and similar librariesSolid mathematical foundations and deep learning expertise across training and inferenceExcellent problem-solving, debugging, performance analysis, test design and documentation skillsStrong grasp of GPU architectures and LLM hardware/software infrastructureExcellent Python skills and experience with PyTorch, HuggingFace and related librariesExperience with cloud platforms (ideally AWS), Docker, and deploying AI solutions in the cloudExcellent written and verbal communication, and the ability to collaborate in a fast-paced teamFluent GermanResearch publications in deep learning or any technical field are a plus
