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.