Applied ML Researcher

At Circonomit, we build the strategic twin of organizations. By transforming operational data into clear decision models, we revolutionize how resources are managed. As an Applied ML Researcher (Lead Modeller), you will take full ownership of the modeling core of our platform. You will work directly with our CTO to design, formalize, and implement the computational and semantic models that translate real-world organizational complexity into executable decision intelligence.

Join our nerdy, fast-paced team to build the models that turn human knowledge and data into strategy.

• Lead the modeling core with fundamental mathematical, statistical, and machine-learning methods that bring customer and market data with knowledge into an executable strategic twin
• Translate business reality into formal models and work closely with product, domain experts, and customers to convert messy, real-world organizational structures into clean, computable abstractions
• Integrate ML models with ontologies and knowledge graphs to ensure explainability, composability, and traceability of decisions
• Apply natural language processing techniques to extract meaningful insights from text data and integrate it into data models
• Present and communicate research findings to both technical and non-technical stakeholders effectively
• Stay abreast of the latest developments in the field of machine learning and contribute to the continuous improvement of our technologies

• Ph.D. or a Master’s degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field
• 4+ years of experience in applied machine learning research or implementation
• Proficiency in programming languages such as Python or R, with experience in machine learning libraries (e.g., Tensor Flow, PyTorch)
• Strong foundation in designing models from scratch, explicitly not just tuning existing architectures, with owning tech decisions with their assumptions, limitations, and trade-offs in model design
• Strong knowledge of natural language processing techniques and tools
• Strong experience in connecting ML models with semantic representations to capture domain logic and dependencies, understanding ontologies and knowledge graphs
• Solid mathematical and statistical background in optimization, probabilistic modeling, time-series analysis, graph-based models, or simulation
• Proven ability to conduct rigorous research and develop innovative solutions to complex problems
• Strong analytical and problem-solving skills, with a proactive and curious mindset
• Excellent communication skills, with the ability to convey complex concepts to diverse audiences
• You must speak German at a level C1 or higher
• You must speak English at a level C1 or higher
• You already live or are willing to relocate to Cologne, Germany

• You join as part of the core team to shape the technical foundation and story of our company
• We empower you with ownership and decision-making authority to build, test, and lead starting day one
• We ensure you have skin in the game by offering both a competitive salary and a significant equity package
• We fully cover your Urban Sports Club membership because we believe that high performance relies on active recovery
• You have the space to learn and progress quickly, encouraged by the contagious curiosity and ambition of our team.

Can’t wait to chat!

“Hustle the day, analyze at night, reinforce something outstanding.” Period.

Erik & Dana