Machine Learning Engineer in München

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 industries




• Run rigorous evaluations and benchmarks, then fine-tune and optimise LLMs for accuracy, robustness and efficiency




• Build LLM-based applications such as RAG systems and AI agents




• Assess model strengths and weaknesses, and propose novel ways to improve performance




• Act as a domain expert in LLMs, spotting opportunities for quantum AI-driven innovation




• Document your development processes, experiments and results thoroughly




• Mentor junior colleagues and share your knowledge to foster a culture of continuous learning




• Take part in code reviews and give constructive feedback




• Keep 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 field




• Mid-level: 2+ years of hands-on experience with deep learning and neural networks, ideally with LLMs and Transformers




• Senior: 5+ years of hands-on experience with deep learning and neural networks, ideally with LLMs and Transformer architectures, or computer vision models




• 2+ years working with LLM and Transformer models, with excellent command of HuggingFace Transformers, Accelerate, Datasets and similar libraries




• Solid mathematical foundations and deep learning expertise across training and inference




• Excellent problem-solving, debugging, performance analysis, test design and documentation skills




• Strong grasp of GPU architectures and LLM hardware/software infrastructure




• Excellent Python skills and experience with PyTorch, HuggingFace and related libraries




• Experience with cloud platforms (ideally AWS), Docker, and deploying AI solutions in the cloud




• Excellent written and verbal communication, and the ability to collaborate in a fast-paced team




• Fluent German




• Research publications in deep learning or any technical field are a plus

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