AI Engineer Model Training & Deployment

About the Role

Join an early-stage industrial robotics startup in Munich as a junior AI Engineer on a focused ML and robotics team. You'll work on the core deep learning stack that enables robotic work cells to perceive and act in real industrial environments — covering tasks such as surface finishing, welding, and coating. This is a hands-on, high-impact role from day one, with room to grow into deployment and MLOps responsibilities as the platform matures. Early team members participate in equity.

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 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.

• Contribute to on-site customer deployments and edge environment bring-up.

• Design and run reproducible experiments, tracking evaluation metrics to drive continuous improvement.

What We're Looking For

Must-haves:

• 1+ years of hands-on experience training deep learning models using Python and PyTorch (academic thesis, research project, or industry work counts).

• Proficiency 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.

Strong advantages:

• Familiarity with Slurm or other cluster job scheduling systems.

• Experience with ONNX or other model export / interoperability tools; interest in edge or on-device deployment.

• Background or strong interest in computer vision, robotics, or physical systems.

• Experience with data versioning tools such as DVC.

• Cloud deployment experience.

• Fluency in English; German is a plus.

• Rigorous, analytical mindset with a habit of structured experimentation.

Compensation & Benefits

• Competitive salary commensurate with experience.

• Equity participation as an early team member.

• Opportunity to shape the technical direction of a growing robotics platform.

Location

This position is on-site in Munich, Bavaria, Germany. Candidates must be eligible to work in Germany; visa sponsorship is not provided.