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AI Engineering Intern (F/M/*)

  • Full Time
  • Remote

Amber

From Europe, for Europe – we are building the leading business AI.

We are Cologne’s fastest-growing AI start-up.

SMEs benefit when internal knowledge becomes immediately usable and intelligent agents can respond to it. We believe in a future where business AI – including agents within amber and other platforms – works on a shared context layer, enabling teams to work faster, handoffs to be seamless, and expertise to remain within the company.

 

Your 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

Your Qualifiactions

  • 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

Nice to have: You already had the chance of taking on the challenges of an AI-based B2B startup

 

Your Benefits

  • Team offsites – Since you will be working in an international team, we all meet twice a year somewhere in Europe

  • Start at a company that lets you grow – whether you want to develop your skills in the field or learn new ones

  • We promote your personal development through further training and room for personal responsibility

  • We live a hybrid working model: we believe it is important to work together in person on a regular basis. That’s why we meet three times a week at one of our locations

  • The choice is yours: either a subsidised Germany-wide Deutschlandticket or an Urban Sports Club membership are on us

  • A team of motivated people who are keen to make AI solutions accessible to medium-sized companies

  • Work with the latest technologies and tools 🔨

Want to make a difference? Then come on board. Just send us your CV or LinkedIn profile,

Please note: that we are only looking for candidates located in Germany for this role.

Let’s build something big together! 🚀

To apply for this job please visit jobs.ashbyhq.com.

Working in Köln

Cologne is the fourth-most populous city of Germany and the largest city of the German state of North Rhine-Westphalia with nearly 1.1 million inhabitants in the city proper and over 3.1 million people in the Cologne Bonn urban region. Cologne is also part of the Rhine-Ruhr metropolitan region, the second biggest metropolitan region by GDP in the European Union. Centered on the left bank of the Rhine, Cologne is located on the River Rhine, about 35 kilometres (22 mi) southeast of the North Rhine-Westphalia state capital Düsseldorf and 22 kilometres (14 mi) northwest of Bonn, the former capital

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