
About Celonis
Transforming inefficiencies into operational excellence
Key Highlights
- Headquartered in World Trade Center, New York, NY
- Raised $1.8 billion in Series D funding
- Over 1,000 employees dedicated to process mining and execution management
- Significant uptake across industries like supply chain and manufacturing
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...
🎁 Benefits
Celonis offers competitive health and wellbeing benefits for employees and their families, along with Restricted Stock Options (RSUs) that allow emplo...
🌟 Culture
Celonis fosters a unique culture rooted in process mining and execution management, emphasizing data-driven decision-making. The company values innova...
Skills & Technologies
Overview
Celonis is seeking a Machine Learning Engineer to design and develop AI/ML product features and solutions. You'll work with technologies like Python and contribute to innovative business intelligence solutions. This role requires experience in machine learning and data analysis.
Job Description
Who you are
You have a solid background in software engineering with a focus on machine learning — your experience includes designing and implementing AI/ML features that drive business intelligence solutions. You are proficient in Python and have a strong understanding of machine learning algorithms and data analysis techniques. You thrive in collaborative environments, working closely with cross-functional teams to deliver high-quality solutions that meet customer needs.
You are familiar with cloud technologies and have experience deploying machine learning models in production environments — your knowledge of data pipelines and infrastructure will help you build scalable solutions. You understand the importance of data quality and are skilled at conducting experiments to validate your models. You are a proactive communicator, able to articulate complex technical concepts to both technical and non-technical stakeholders.
Desirable
Experience with AI frameworks such as TensorFlow or PyTorch is a plus, as is familiarity with data visualization tools. You have a keen interest in the latest trends in AI and machine learning, and you are eager to apply your knowledge to real-world business challenges. You are adaptable and open to learning new technologies as the field evolves.
What you'll do
As a Machine Learning Engineer at Celonis, you will be responsible for designing and developing advanced AI/ML features for our products. You will collaborate with product managers and solution engineers to understand customer requirements and translate them into technical specifications. Your role will involve building and optimizing machine learning models, ensuring they are robust and scalable for production use.
You will also work on enhancing the underlying infrastructure that supports our AI/ML capabilities — this includes developing data pipelines and integrating various data sources to improve model performance. You will participate in code reviews and contribute to the overall architecture of our systems, ensuring best practices are followed.
In addition, you will have the opportunity to mentor junior engineers and share your expertise with the team — fostering a culture of continuous learning and improvement is important to us. You will stay updated on the latest advancements in AI and machine learning, applying new techniques and tools to enhance our product offerings.
What we offer
At Celonis, we believe in empowering our employees to make a significant impact. You will be part of a dynamic team that is dedicated to pushing the boundaries of what is possible with AI and machine learning. We offer competitive compensation and benefits, along with opportunities for professional development and growth within the company. Our culture encourages innovation and collaboration, and we value diverse perspectives that contribute to our mission of unlocking productivity through intelligent business processes.
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