
Transforming inefficiencies into operational excellence
Celonis, headquartered at the World Trade Center in New York, NY, specializes in execution management and process mining solutions. With over 1,000 employees, the company has raised $1.8 billion in funding and serves a diverse range of industries including supply chain, manufacturing, and business i...
Celonis offers competitive health and wellbeing benefits for employees and their families, along with Restricted Stock Options (RSUs) that allow emplo...
Celonis fosters a unique culture rooted in process mining and execution management, emphasizing data-driven decision-making. The company values innova...

Celonis • Munich, Germany
Celonis is hiring a Senior Software Engineer to develop AI/ML infrastructure that supports their Process Intelligence technology. You'll work with Python and various AI technologies to design and implement advanced product features. This role requires significant experience in software engineering and AI/ML.
You have 5+ years of experience in software engineering, particularly in building scalable systems that leverage AI and machine learning technologies. Your expertise in Python is complemented by a strong understanding of AI/ML principles, enabling you to contribute effectively to innovative projects. You thrive in collaborative environments, working alongside machine learning engineers and platform infrastructure engineers to deliver high-quality solutions. Your background includes experience with data mining, natural language processing, and computer vision, which are essential for the role.
You are passionate about developing infrastructure that supports AI/ML initiatives and understand the importance of robust technical components in driving business intelligence. You have a proven track record of architecting and implementing solutions that enhance product capabilities and improve operational excellence. Your ability to communicate complex technical concepts to both technical and non-technical stakeholders makes you an invaluable team member.
Experience with large-scale data processing and familiarity with recommendation systems will be advantageous. You are also encouraged to bring any knowledge of knowledge bases and advanced data analytics to the table, as these skills will further enhance your contributions to the team.
As a Senior Software Engineer on the AI/ML Infrastructure team, you will be responsible for designing, developing, and deploying the infrastructure that supports Celonis' AI/ML initiatives. You will collaborate closely with software engineers, machine learning engineers, and platform infrastructure engineers to create scalable and high-quality solutions. Your role will involve architecting and implementing robust technical components that drive the next generation of Process Intelligence.
You will engage in the full software development lifecycle, from initial design through deployment and maintenance. This includes writing clean, maintainable code and conducting thorough testing to ensure the reliability of the systems you build. You will also participate in code reviews and provide mentorship to junior engineers, fostering a culture of continuous learning and improvement within the team.
Your work will directly impact the development of advanced AI/ML product features and solutions for our customers, enabling them to make intelligent business decisions. You will be at the forefront of innovation, helping to establish competitive advantages for Celonis' Process Intelligence platform.
At Celonis, we offer a dynamic work environment where you can grow your skills and advance your career. You will have the opportunity to work on cutting-edge technologies and contribute to projects that have a significant impact on our customers' success. We value collaboration and encourage you to share your ideas and insights with the team.
We provide competitive compensation and benefits, along with a supportive culture that prioritizes work-life balance. Join us in our mission to unlock productivity through AI and data intelligence, and be part of a team that is shaping the future of business processes.
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