Why should you join?
We are looking for new talent to help us further advance our AI efforts here in the DocuWare AI Hub. You can expect international teams, flat hierarchies, and an open corporate culture that encourages you to get involved. Mobile working and flexible working hours are part of our everyday practice.
We have been combining leading AI technology with decades of expertise in document management. Together, we are shaping the future of digital business processes and taking our customers' workflows to a new level. Would you like to be part of this success story? Then apply now!
Your Responsibilities
As a Machine Learning Engineer (m/f/d), you play a vital role in pushing the capabilities of our intelligent document processing technology. You leverage 15 petaflops of compute power to drive your innovations. You stay on the cutting edge by following the latest research trends and never have to worry about data limitations with our massive, high-quality datasets.
Your main tasks are:
- You bridge the gap between software engineering and machine learning by building scalable data pipelines for embedding generation, vector search, and context retrieval.
- You train, fine-tune, and evaluate neural networks, specifically embedding models and generative models, to improve our semantic document understanding capabilities.
- You stay updated with the latest trends in Generative AI and apply them to build robust, production-grade retrieval and generation systems.
- You work as part of a cross-functional team to drive the development of new features and products, from concept to deployment.
What you need to succeed
- You have a strong passion for Machine Learning and AI - whether as an engineer, a specialist, or someone eager to shape the future of technology.
- You hold a degree in mathematics, statistics, physics, computer science or a related field; if you have a PhD this is a plus.
- You have a strong foundation in software engineering (clean code, design patterns, testing, etc.) and are proficient in Python.
- You possess a fundamental understanding of Deep Learning and ideally have practical experience with RAG systems.
- You have hands-on experience with common ML libraries and frameworks like PyTorch and HuggingFace.
- You are open-minded and willing to further push the boundaries of document-AI.
- You are willing to work on site at the office in Saarbrücken for approximately two to three days each month.
- You are fluent in English.
What we can offer
There are many great reasons to join us - our company culture is only one of them.
As part of our team, you will benefit from many advantages:
- Flexible work location and hours: You can work on the road or in our modern office - and you have the flexibility to arrange your own working hours.
- Individual support: After an intensive induction, you will receive regular training tailored to your needs (e.g. conferences, internal team building measures).
- Well-earned rest: You receive 35 days of vacation per year!
- Healthy food: Together we enjoy coffee and various other soft drinks, snacks, and fresh fruit—all free of charge.
- Team spirit: Regular employee and team events (virtual or on-site) ensure excellent collaboration with colleagues around the world.
- Your health matters: DocuWare subsidizes your company pension plan!
- We offer a stable job with a well established and growing company.
- Unleash creativity: Enjoy a high degree of freedom to develop your creative ideas and work directly with key decision makers and AI experts.
- Unique benefits: Choose one of three great options (Bonago, E-Gym or subsidized Deutschlandticket) to suit your needs.
- 30 Days Work from Abroad: Experience international opportunities and broaden your horizons.
Your hiring partner
Anja Krieling
Recruiting Specialist & Employer Branding