Artificial Intelligence Engineer

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now and together we will make the world a brighter place.  

The Digital R&D organization (DRD) at Covestro is responsible for innovative digital solutions for chemical product and application development. Experts in material simulations and computational chemistry, laboratory automation, R&D data science, high-performance computing, and quantum computing are among those who work in DRD. The department is expanding its team of scientists and software developers to harness the emerging possibilities of Artificial Intelligence (AI) for the purpose of chemical and material science research. In particular, we intend to apply Large Language Models to better gain insight from unstructured data sources (like research reports or regulatory texts) and to increasingly support the chemical research process with artificial intelligence and creativity.

Major Tasks and Responsibilities:

• Support current and future projects related to AI
• Analyze business/project requirements and identify relevant data and tools for usage in LLMs, AI models, and applications
• Develop, maintain, and automate data pipelines for chemical LLMs
• Develop, maintain, and automate models and methods for ensuring confidentiality of information accessed by or used to train LLMs
• Maintain and ensure reliable operation of existing AI solutions
• Collaborate with cloud architects for automation, maintenance, and monitoring of pipeline solutions

Basic Qualifications

• Bachelor’s degree with 4+ years of relevant experience, Master’s degree with 2+ years of relevant experience; or PhD with at least 1 year of relevant experience in fields such as mathematics, computer science, natural sciences, technology (STEM), or equivalent.

Preferred Qualifications

• Master’s degree or PhD preferred
• Prior experience with Generative AI techniques applied to LLM learning, pre-training, fine-tuning, RLHF and retrieval augmented generation
• Practical background and experience in software development with Python and experienced with machine learning libraries and frameworks, i ncluding, PyTorch, huggingface, langchain, scikit-learn, OpenAI and Anthropic APIs

Knowledge and Skills

• Knowledge of using and configuring indexing tools (RAG, Vector Databases, etc.)
• General knowledge of cloud services (AWS preferred)
• Understanding the basics of polymer chemistry, particularly related to collection of and processing of R&D data in this field.

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YOUR APPLICATION

Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now!

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