AI Engineer – Model Training & Deployment

About the Role This is an entry-level AI Engineer position on the ML and robotics team of an early-stage industrial robotics startup. You'll train and deploy deep learning models that give robotic work cells the perception and reasoning they need to operate in real industrial environments — work that directly shapes the core product from day one. 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. Run reproducible experiments and maintain rigorous evaluation to drive measurable improvements. What We're Looking For At least 1 year of hands-on experience training deep learning models — academic, thesis, or industry projects all count. Proficiency in Python and PyTorch for model development. Experience with Docker for environment replication and model deployment. Comfort working in a Linux / command-line environment. Experience deploying trained models to production or customer environments. Familiarity with Slurm or similar cluster job scheduling systems. Experience with ONNX or other model export/interoperability tools; interest in edge/on-device deployment. Background or strong interest in computer vision , robotics, or physical systems. Familiarity with data versioning tools such as DVC . Cloud deployment experience is a plus. Fluency in English; German is a bonus. Location On-site in Munich, Bavaria, Germany . This role requires regular in-person presence with the local engineering team. Visa sponsorship is not available.