Software Engineer - Machine Learning Infrastructure

at  Celonis SE

We’re Celonis, the global leader in Process Mining technology and one of the world’s fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.

THE QUALIFICATIONS YOU NEED

• 5+ yrs of experience in software engineering or a relevant technical role (preferably experienced in Machine Learning Ops)
• You have a good understanding of DevOps tools and technologies such as: Kubernetes, Terraform, DataDog, Docker, CI/CD
• You are experienced with Cloud Provider solutions (AWS, Azure, GCP)
• You are comfortable designing, building, documenting and distributing robust and scalable solutions in the form of services, libraries and tools
• You are passionate about developing AI/ML/LLM solutions

ABOUT US

Since 2011, Celonis has helped thousands of the world’s largest and most valued companies deliver immediate cash impact, radically improve customer experience and reduce carbon emissions. Its Process Intelligence platform uses industry-leading process mining technology and AI to present companies with a living digital twin of their end-to-end processes. For the first time, everyone in an organisation has a common language about how the business works, visibility into where value is hidden and the ability to capture it. Celonis is headquartered in Munich (Germany) and New York (USA) and has more than 20 offices worldwide.
Join us as we make processes work for people, companies and the planet.
Celonis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

THE ROLE

As a software engineer (machine learning) of the infrastructure team, you are responsible for designing and developing external and internal solutions, along with the underlying infrastructure, that will accelerate AI/ML/LLM product development. You may interact closely with other software engineers, machine learning engineers and platform infrastructure engineers within the product and engineering organization to build scalable and high quality AI/ML/LLM solutions for our customers.
You may also be responsible for designing and implementing new foundational technical components that will power the next generation of EMS and elevate the impact Celonis has on our customers. These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies.

THE WORK YOU’LL DO

• Deeply understand the business and technical requirements
• Design and develop scalable solutions
• Design and build robust and low latency infrastructure to serve the AI/ML/LLM models and meet the demands of Celonis customers
• Design and develop intelligent techniques to understand, represent, and integrate enterprise operational data (e.g., processes)
• Design and build APIs, libraries and infrastructure to serve such data at scale and with low latency
• Design and implement intelligent ways to ensure freshness and accuracy of such data across thousands of enterprise customers.