AI Engineer – Model Training & Deployment

About the Role Join an early-stage industrial robotics startup in Munich as a junior AI Engineer on a focused ML and robotics team. You’ll work on the core deep learning stack that enables robotic work cells to perceive and act in real industrial environments, covering tasks such as surface finishing, welding, and coating. This is a hands-on, high-impact role from day one, with room to grow into deployment and MLOps responsibilities as the platform matures. Early team members participate in equity. Note: This role is on-site in Munich, Germany. Visa sponsorship is not available.

What You’ll Do - Train and implement deep learning models as part of the core robotics product. - Iterate on model architectures and training pipelines to improve real-world performance. - Support deployment of trained models to customer and edge environments. - Collaborate closely with the ML and robotics team on the core technical roadmap. - Contribute to on-site customer deployments and edge environment bring-up. - Design and run reproducible experiments, tracking evaluation metrics to drive continuous improvement.

AI Engineer – Model Training & Deployment

About the Role Join an early-stage industrial robotics startup in Munich as a junior AI Engineer on a focused ML and robotics team. You’ll work on the core deep learning stack that enables robotic work cells to perceive and act in real industrial environments, covering tasks such as surface finishing, welding, and coating. This is a hands-on, high-impact role from day one, with room to grow into deployment and MLOps responsibilities as the platform matures. Early team members participate in equity. Note: This role is on-site in Munich, Germany. Visa sponsorship is not available.

What You’ll Do - Train and implement deep learning models as part of the core robotics product. - Iterate on model architectures and training pipelines to improve real-world performance. - Support deployment of trained models to customer and edge environments. - Collaborate closely with the ML and robotics team on the core technical roadmap. - Contribute to on-site customer deployments and edge environment bring-up. - Design and run reproducible experiments, tracking evaluation metrics to drive continuous improvement.