At Phantasma Labs, we're building AI-powered production scheduling software for manufacturers. Production scheduling is a complex problem: priorities change, machines go down, new orders come in and planners constantly need to adapt. Many factories still rely heavily on manual planning to manage this complexity. We approach this differently. Our technology combines reinforcement learning with Digital Twin environments to train AI agents in simulation, allowing manufacturers to create and optimize production schedules without relying on large historical datasets. We're already working with manufacturers across Europe, the US and Japan and partner with ERP and MES providers to bring our technology into real production environments. We're a small, international team based in Berlin with a flexible remote setup, and there's still a lot to build as we continue developing the product and bringing it to more manufacturers. Tasks As a Machine Learning Engineer, you'll work on the core AI behind our production scheduling software. You'll develop and improve our reinforcement learning agents, work on the Digital Twin environments they train in and help turn complex manufacturing problems into models that work in real factories. You'll have a lot of ownership over how we approach these problems and work closely with both our engineering team and customers. We're looking for someone who brings strong Python experience together with an understanding of manufacturing environments and wants to apply reinforcement learning to real-world production challenges. Write robust, scalable and production-ready Python code Provide code reviews, guidance, and mentorship to fellow developers to maintain high coding standards Write unit and integration tests using tools such as unittest and pytest Design, engineer and optimize features in the Digital Twin for reinforcement learning simulations using Python, NumPy and Pandas Create, optimize and maintain training and evaluation scripts for RL