AI Engineering Intern (F/M/*)

Imagine having a cross-system AI platform that makes all your knowledge accessible… ????

So that you don’t have to imagine this, we have developed amber. amber is an AI-based, in-house efficiency tool designed to make it easier for employees to access knowledge ????.

AI isn’t just a tool for you — it’s a field you want to push forward every day. As an AI Engineering Intern (F/M/*),
you will design and fine-tune advanced models, build adaptive AI
pipelines, and optimize performance to keep our platform at the top. You
thrive on solving daily challenges with machine learning, neural
networks, and deep learning innovations.

If you are looking for a company that truly helps improve daily life, shape the future of AI with us and apply now!

Please note: We are only looking for candidates located in Germany (Aachen/Cologne and nearby) for this role.

• Experience working with AI models at a research institute as a working student or an extensive GitHub profile showcasing your expertise.
• Availability for at least 4 months in a full-time position.
• Deep expertise in Large Language Models and their real-world applications, including fine-tuning, evaluation, and production deployment.
• At least 1 year of hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX), including training, scaling, and debugging neural networks.
• Fluency in at least one compiled or strongly typed programming language (e.g., Java, C++, C#, Rust) with a solid foundation in systems-level thinking.
• Confident experience with GitOps practices, CI/CD workflows, and collaborative engineering environments.
• Fluent in English and ideally German.
• A strong interest in reading and applying scientific papers about deep neural networks and their applications.

• Integrate, fine-tune, and deploy multimodal models (vision & language) to directly improve product quality, speed, and scalability.
• Evaluate and benchmark frontier models on industry-specific datasets to ensure they perform optimally for our users.
• Develop fast, lightweight AI systems to reduce latency in search and generation processes.
• Stay ahead of the curve by researching and applying techniques like retrieval-augmented generation and open-source state-of-the-art (SOTA) models.
• Collaborate cross-functionally with product, engineering, and
  customer teams to turn business goals into smart, AI-powered features.
• Guide technical experimentation and champion innovation, from small model tweaks to entirely new architectures.

Praktikum

Computer / IT / Technik