Erstellt am 4. August 2026
AI Engineer - Model Training & Deployment
Clera
München, Bayern 80331, Germany
Vollzeit
Reference: 210944954
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
Must-haves:
Strong advantages:
This position is on-site in Munich, Bavaria, Germany. Candidates must be eligible to work in Germany; visa sponsorship is not provided.
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.
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.
- Competitive salary commensurate with experience.
- Equity participation as an early team member.
- Opportunity to shape the technical direction of a growing robotics platform.
This position is on-site in Munich, Bavaria, Germany. Candidates must be eligible to work in Germany; visa sponsorship is not provided.
