Machine Learning Engineer

Traditional factory planning tools are rigid, slow, and unable to adapt to real-time shopfloor disruptions. By building a high-fidelity digital twin for reinforcement learning simulations, we enable manufacturing plants to optimize resources on the fly, transforming raw physical complexity into automated, intelligent decisions.

You will own the end-to-end translation of physical manufacturing requirements into our reinforcement learning simulation framework.

• Python Expert: 5+ years of experience writing robust, scalable, and highly testable Python code.
• Shopfloor Context: 2+ years working in factory operations (as an engineer/planner) or building ERP/MES systems.
• Manufacturing Domain: Strong grasp of manufacturing processes, including discrete, line, and engineer-to-order setups.
• Applied ML: Basic understanding of Reinforcement Learning algorithms and hands-on experience with PyTorch, Optuna, or MLflow.
• Engineering Rigor: Experienced with CI/CD pipelines, GitHub Actions, unit testing, and integration testing practices.

The company Labs is a lean, international team with big ambitions, building advanced production planning tools. They operate with a supportive, open culture characterized by clear communication, strong collaboration, and flat hierarchies. Team members have ownership from day one, with fast feedback loops and highly visible results, collaborating alongside highly skilled ML specialists and experienced software engineers. Work-life balance is supported through flexible working hours and a remote-first setup, with options to work from their co-working space in Berlin Mitte.

• High Autonomy: Ownership from day one with fast feedback loops and highly visible product results.
• Elite Collaboration: Work alongside highly skilled ML specialists and experienced software engineers in a flat hierarchy.
• Flexible Setup: Remote-first working culture with access to a vibrant co-working space in Berlin Mitte.
• Healthy Balance: Supportive, international team environment with flexible working hours designed to prevent burnout.

Python · Factory shopfloor operations · ERP/MES · Manufacturing processes · Reinforcement Learning · PyTorch · Optuna · MLflow · CI/CD · GitHub Actions · Unit testing · Integration testing

This probably isn't for you if:

• You want to work in a silo; this role requires constantly translating real-world factory planner needs into code.
• You prefer theoretical research over writing clean, production-grade, and thoroughly tested software.
• You need rigid corporate structures, defined processes, and top-down management to get things done.

If you are ready to take reinforcement learning out of academic papers and deploy it onto actual factory floors, we would love to hear from you. Apply today and let's discuss how we can build the future of manufacturing together.