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Machine Learning Research Engineer at Celonis - ApplyBlast

Machine Learning Research Engineer

Celonis

3 months ago

3.8 on Glassdoor

New York, NY

Hybrid

Full Time

Senior

3 applicants

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About this role

As a Machine Learning Research Engineer at Celonis, you will bridge the gap between AI research and software engineering to develop systems that optimize global enterprise operations. This role focuses on designing, testing, and productionizing machine learning algorithms for the Celonis platform, specifically integrating Generative AI capabilities like LLMs and RAG architectures. You will collaborate across product and engineering teams to translate advanced models into scalable solutions that drive process insights.

Responsibilities

Design and productionize machine learning algorithms for enterprise applications
Research and develop foundation model architectures for specialized domains
Build and maintain ML infrastructure pipelines for model deployment
Integrate Generative AI capabilities such as LLMs and RAG into the platform
Process complex operational datasets to train predictive models

Skills

Qualifications

Master's in Computer SciencePh.D. in Computer ScienceMaster's in Artificial IntelligenceMaster's in Machine LearningMaster's in Mathematics

About Celonis

celonis.com

Headquarters

New York, New York, United States

Company Size

1001-5000 employees

Founded

2011

View Profile

Celonis is an Enterprise AI company whose platform provides the operational context that AI needs to succeed, combining process intelligence, the Context Model, and AI-driven automation to help organizations transform their operations. More than 1,400 companies use Celonis to analyze, design, and operate AI-driven processes across supply chain, finance, IT, and shared services. Its solutions enable organizations to improve service levels, optimize working capital, accelerate cash flow, and drive measurable business outcomes by orchestrating people, AI agents, and existing systems.