Where do you want to go? What do you want to do? How do you want to make a difference? The choice is yours, and we’ll help you get there. At Bayer, generalists 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 your opportunity to kickstart your career at an organization that makes a global impact. Bring your ideas, your can-do and your passion. Your career starts here.

Intern (all genders) in AI Agent Development/Natural Language Processing (NLP)

YOUR TASKS AND EDUCATIONAL OBJECTIVES

• 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
• Research, implement, and integrate state-of-the-art AI agent architectures and reasoning frameworks
• Develop methods for connecting AI systems to internal knowledge bases, tools, and structured/unstructured data sources (internal and external)
• Support the creation of specialized AI workflows for use cases like target prioritization, safety assessments, and dossier generation
• Implement natural language interfaces that enable intuitive human-AI collaboration
• Write clean, well-documented Python code, contribute to open-source code, and participate in system architecture design
• Communicate your results clearly and rigorously across multidisciplinary teams, including scientific publications

WHO YOU ARE

• Enrolled Master student (all genders) in computer science, data science, physics, math, or similar
• Good understanding of machine learning algorithms, especially large language models
• Expertise and extensive hands-on experience in Python programming (LangChain, Transformers, or similar frameworks are a plus)
• First experience in developing and applying machine learning, ideally using NLP methods
• Ability to solve complex problems via creative solutions, open minded and ready to emb new ideas
• Organized, focused, and with a high degree of commitment, independence, and time management
• Passionate about applying AI to make an impact across pharma
• Fluent in English, both verbal and written

We offer a 6-month internship. Please apply submitting a cover letter, your CV, certificates, proof of enrollment, current transcript of records as well as internship guidelines of your university.

WHAT WE OFFER

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

• For a full-time position, you can expect an attractive salary of €2.103 gross per month
• Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager
• We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First
• We encourage sustainable mobility by providing climate-friendly transportation options such as job tickets and bike sharing
• As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands
• We emb 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 | Bayer Global

YOUR APPLICATION

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer. Bayer welcomes applications from all individuals, regardless of national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, orientation, gender identity, gender expression or any criterion under applicable law. We are committed to treating all applicants fairly and avoiding

Location: Germany : Berlin : Berlin

Division: Pharmaceuticals

Reference Code: 850814

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Bereitgestellt in Kooperation mit der Bundesagentur für Arbeit.