Wo möchtest du hin? Was möchtest du erreichen? Wie möchtest du dich einbringen? Du hast die Wahl und wir unterstützen dich auf deinem Weg. Bei Bayer kommen Multitalente und Spezialist*innen, Visionäre und leidenschaftliche Menschen, Denker*innen und Macher*innen zusammen, um die Welt zu ernähren, den Klimawandel zu verlangsamen und gesündere, nachhaltigere Leben für alle zu schaffen. Dies ist die Gelegenheit, deine Karriere bei einem weltweit führenden Konzern zu starten, der sich für #HealthForAll #HungerForNone einsetzt. Bringe deine Ideen, dein Können und deine Leidenschaft mit. Deine Karriere beginnt hier.

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

• 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

• During the whole period of internship enrolled Master student (all genders) in computer science, data science, physics, math, engineering or life sciences
• Expertise and extensive hands-on experience in Python programming
• Good understanding of machine-learning, large language models, prompting and NLP-methods
• Ideally experiences with tools and frameworks for orchestration of RAG and agentic workflows like LangChain, Transformers, llamaindex, MCP
• Interest in Life Science topics and basic domain understanding, ideally knowledgeable in bioinformatics or cheminformatics
• 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 on fighting hunger and diseaes
• 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!

• 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 https://www.bayer.com/en/strategy/strategy
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.

DEINE BEWERBUNG

Dies ist deine Chance, dich mit uns gemeinsam den größten globalen Herausforderungen unserer Zeit zu stellen: die Gesundheit der Menschen zu erhalten, die wachsende Weltbevölkerung zu ernähren und den Klimawandel zu verlangsamen. Du hast eine Stimme, Ideen und Perspektiven, die wir hören möchten. Denn unser Erfolg beginnt mit dir. Sei dabei. Sei Bayer.

Bayer begrüßt Bewerbungen aller Menschen ungeachtet von ethnischer Herkunft, nationaler Herkunft, Geschlecht, Alter, körperlichen Merkmalen, sozialer Herkunft, Behinderung, Mitgliedschaft in einer Gewerkschaft, Religion, Familienstand, Schwangerschaft, sexueller Orientierung, Geschlechtsidentität oder einem anderen sachfremden Kriterium nach geltendem Recht. Wir bekennen uns zu dem Grundsatz, alle Bewerber*innen fair zu behandeln und Benachteiligungen zu vermeiden.

Standort:           ​​ ​   Deutschland : Nordrhein-Westfalen : Monheim​

​​Division: ​               Crop Science​

Referenzcode:      851193​

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