AI Research Engineer (f/m/d)

Experience and qualifications

• An advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related quantitative field.
• Strong industry experience in machine learning, with a solid understanding of modern software engineering practices and tools.
• Solid programming skills in Python and hands-on experience with core ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Familiarity with Java is a plus.
• Proven experience in applied Machine Learning, with a strong focus on Natural Language Processing (NLP) or, ideally, Programming Language Processing (PLP).
• Hands-on experience with modern LLM architectures and techniques, such as Fine-tuning strategies (e.g., LoRA, QLoRA), advanced prompt engineering, building and optimizing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases and semantic search
• Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS).
• Experience of driving research projects from initial ideation to a demonstrable prototype with a high degree of autonomy.
• Excellent communication skills in English and a talent for explaining complex scientific topics clearly and concisely.

Salary range

Additional comments

This role is based in Bochum. We are unable to consider candidates unwilling to be in Bochum, but we are willing to relocate the right candidate.

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation

Posted Oct 31, 2026