Machine Learning Research Engineer

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As a Machine Learning Research Engineer, you will develop systems that analyze and optimize enterprise operations, collaborating across teams to translate machine learning models into scalable product features.

Responsibilities:

• Design, test, and productionize machine learning algorithms for enterprise applications
• Research, develop and iterate on foundation model architectures for specialized domains
• Build and maintain ML infrastructure, pipelines, and backend services to support model deployment (MLOps)
• Integrate Generative AI capabilities (such as LLMs and RAG architectures) into the core Celonis platform to drive automation and process insights
• Process and analyze complex operational datasets and knowledge graphs to train predictive models
• Implement engineering best practices, ensuring code is efficient and testable, and utilizing logging, monitoring, and model-drift alerting
• Collaborate with product managers, data engineers, and frontend developers to deploy end-to-end AI solutions