Where do you want to go? What do you want to achieve? How would you like to get involved? The choice is yours and we will support you on your way. At Bayer, multi-talents and specialists, visionaries and passionate people, thinkers and doers come together to feed the world, slow climate change and create healthier, more sustainable lives for all. This is the opportunity to start your career with a global leader committed to #HealthForAll #HungerForNone. Bring your ideas, skills and passion with you. Your career starts here.
Intern in AI Agent Development/Natural Language Processing (NLP) (all genders)
We offer a 6-month internship (either compulsory or voluntary). To make sure, that we can consider your application, please submit all following documents: a cover letter, your CV, relevant certificates, proof of enrollment, current transcript of records as well as internship guidelines of your university (internship guidelines are only necessary, if you plan to do a mandatory internship). It is best to upload your application bundled in one pdf file.
YOUR TASKS AND EDUCATIONAL OBJECTIVES
1. Work with experienced data scientists/applied researchers within a cross-divisional team on developing advanced AI-powered reasoning agent designed to unify and leverage Bayer's wealth of scattered knowledge for decision making
2. Research, implement and integrate state-of-the-art AI agent architectures and reasoning frameworks
3. Develop methods for connecting AI systems to internal knowledge bases, tools, and structured/unstructured data sources (internal and external)
4. Support the creation of specialized AI workflows for use cases like target prioritization, safety assessments and dossier generation
5. Implement natural language interfaces that enable intuitive human-AI collaboration
6. Write clean, well-documented Python code, contribute to open-source code and participate in system architecture design
7. Communicate your results clearly and rigorously across multidisciplinary teams, including scientific publications
WHO YOU ARE
8. During the whole period of internship enrolled Master student (all genders) in computer science, data science, physics, math, engineering or life sciences
9. Expertise and extensive hands-on experience in Python programming
10. Good understanding of machine-learning, large language models, prompting and NLP-methods
11. Ideally experiences with tools and frameworks for orchestration of RAG and agentic workflows like LangChain, Transformers, llamaindex, MCP
12. Interest in Life Science topics and basic domain understanding, ideally knowledgeable in bioinformatics or cheminformatics
13. Ability to solve complex problems via creative solutions, open minded and ready to embrace new ideas
14. Organized, focused and with a high degree of commitment, independence and time management
15. Passionate about applying AI to make an impact on fighting hunger and diseaes
16. Fluent in English, both written and spoken
Local regulations and legal requirements vary per country of hire and will be discussed with considered candidates individually based on their potential of hire.
WHY BAYER?
Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!
17. For a full-time position, you can expect an attractive salary of € 2.103 gross per month
18. Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager
19. We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First
20. We encourage sustainable mobility by providing climate-friendly transportation options such as job tickets and bike sharing
21. As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands
22. We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work
Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here
Our Mission & Strategy
Through Dynamic Shared Ownership, we’re putting an end to the hierarchical model and putting more power in the hands of the innovators and creators at Bayer.