AI Engineering Intern (F/M/*)
Estimated take-home
Monthly net after taxes & social security
€66,993 – €99,673/mo
See tax calculatorRequired skills
Job description
amber published this listing. We've added our own working-student context below — what this role means for your weekly hours, take-home pay and student visa as a student in Cologne, Germany.
Description provided by amber
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
- 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
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 🔨
Please note: that we are only looking for candidates located in Germany for this role.
Let’s build something big together! 🚀
Working student essentials
What this Tech internship in Cologne means for you — pay rules, social contributions, and what international students should check before applying.
Weekly hours
Internships have no 20-hour cap, but a voluntary internship longer than three months generally has to pay at least the German minimum wage. Mandatory internships in your study programme are exempt.
Working student rulesSocial contributions
Mandatory internships are largely exempt from social contributions. Voluntary internships are treated like regular employment once they run long enough, so contributions usually apply.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
Studying in Germany
