AI Engineer – Model Training & Deployment

Role details

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.