AI Engineer – Model Training & Deployment

ABOUT THE ROLE Join 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 DO - Train 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 FOR Required (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 & BENEFITS - Competitive 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. LOCATION This 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.