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.