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 but 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.
Tasks
You integrate, fine-tune, and deploy multimodal models (vision \& language) to directly improve product quality, speed, and scalability
You evaluate and benchmark frontier models on industry-specific datasets to ensure they perform optimally for our users
You develop fast, lightweight AI systems to reduce latency in search and generation processes
You stay ahead of the curve by researching and applying techniques like retrieval-augmented generation and open-source state-of-the-art (SOTA) models
You collaborate cross-functionally with product, engineering, and
customer teams to turn business goals into smart, AI-powered features
You guide technical experimentation and champion innovation, from small model tweaks to entirely new architectures
Requirements
You have experience working with AI models at a research institute as a working student or an extensive GitHub profile showcasing your expertise
You are available for at least 4 months in a full-time position
You have expertise in Large Language Models and their real-world applications, including fine-tuning, evaluation, and production deployment
You have at least 1 year of hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX), including training, scaling, and debugging neural networks
You are fluent in at least one compiled or strongly typed programming language (e.g., Java, C++, C#, Rust) with a solid foundation in systems-level thinking
You are confidentally experienced with GitOps practices, CI/CD workflows, and collaborative engineering environments
You are fluent in English and ideally German
You have a strong interest in reading and applying scientific papers about deep neural networks and their applications
Benefits
Workations - As you will be working in an international team, our workations have always been international 🏖️
Attractive remuneration (see additional information below)💰
We support your personal development through further training and room for personal responsibility
Work flexibly, whether from home or in one of the coolest co-working spaces in Aachen - the Digital Church - or in Cologne whenever it suits you
For flexible traveling: Deutschlandticket is on us
A team of motivated people who are keen to make AI solutions accessible to SMEs too
Work with the latest technologies \& tools 🔨
Here you will get the chance to take on responsibility right from the start: develop innovative AI-strategies and get off to a rocket start with a pioneering AI product.
Sounds exciting? Then help us now and simply send us your CV or your LinkedIn profile - simply via JOIN. We look forward to hearing from you!
Please note that we are only looking for candidates located in Germany for this role.
Let’s build something big together! 🚀