AI Engineer – Model Training & Deployment

About the RoleJoin an early-stage industrial robotics startup at the forefront of intelligent automation. This is an entry-level AI Engineer position embedded within the ML and robotics engineering team in Munich. You'll work hands-on developing, training, and deploying deep learning models that give robotic work cells the perception and decision-making capabilities needed to operate in real industrial environments — think surface finishing, welding, and protective <coating.As> an early team member, you'll have meaningful impact from day one, with a clear path to grow into deployment and MLOps responsibilities as the product and stack mature. Equity participation is included.Note: This role is fully on-site in Munich, Germany. Visa sponsorship is not available.What You'll DoTrain and implement deep learning models as a core part of the 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 getting models running reliably in on-site customer and edge <settings.Design> and run reproducible experiments; track and evaluate results rigorously.What We're Looking ForRequired (dealbreakers):1+ year of hands-on experience training deep learning models using Python and PyTorch (academic projects, thesis work, or industry experience all count).Experience with Docker for model deployment and environment replication.Also required:Experience deploying trained models to customer or production environments.Comfort working in a Linux/command-line environment.Documented results and evaluation metrics from prior model training work.Nice to have:Experience with ONNX or other model export/interoperability tools.Familiarity with data versioning tools (e.g., DVC).Background or strong interest in computer vision or <robotics.Cloud> deployment experience.Experience with Slurm or other cluster job scheduling systems.Interest in edge computing and on-device deployment.Fluent English required; German language skills are a plus.Compensation & BenefitsCompetitive salary (commensurate with experience).Early employee equity participation.High-impact role with direct contribution to a core product from day one.Opportunity to grow alongside the company and take on expanded technical responsibilities.LocationThis is a fully on-site role based in Munich, Bavaria, Germany. Candidates must be available to work on-site with the local engineering team. Visa sponsorship is not available.