Machine Learning Engineer

As a Machine Learning Engineer at Phantasma, you'll work on the core AI behind AiPS, 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.

You'll work on the development and improvement of our reinforcement learning models and simulation environments:

• 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, Num Py and Pandas
• Create, optimize and maintain training and evaluation scripts for RL agents
• Set up and maintain Python environments using modern tools such as uv and conda
• Work collaboratively using Git and Git Hub
• Participate in customer calls to understand requirements and translate them into actionable technical features
• Brainstorm and develop ideas to improve the RL agent, including algorithms, reward functions and architecture

We're looking for someone who combines strong Python experience with an understanding of manufacturing environments and an interest in applying reinforcement learning to real-world production challenges.

• Background in Computer Engineering, Mathematics, Machine Learning, Industrial Engineering or a related field
• 5+ years of Python experience
• 2+ years of experience in factory shopfloor operations as an engineer or planner,
  or 2+ years of experience with ERP/MES systems for factories
• Strong understanding of manufacturing processes across different environments, including discrete manufacturing, line production and engineer-to-order
• Basic understanding of reinforcement learning and experience developing or applying RL algorithms

• 3+ years of experience in factory shopfloor operations as an engineer or planner,
  or 3+ years of experience with ERP/MES systems for factories
• Research experience developing RL algorithms
• Experience with CI/CD pipelines, particularly Git Hub Actions
• Experience using libraries and tools such as PyTorch, Optuna and MLflow
• Ownership from day 1: Work in a small team with fast feedback and see the impact of what you build
• Collaborate with a strong team: Work alongside ML specialists developing our AI optimization technology and software engineers building the production‑grade systems around it
• A supportive, open culture: Clear communication, strong collaboration and flat hierarchies
• Flexible working hours & hybrid setup: Work remotely or from our co‑working space in Berlin Mitte, whatever helps you do your best work
• Company laptop: We’ll provide the equipment you need to do your work