AI Engineer – Model Training & Deployment
Clera
| Company | Clera |
| Category | Uncategorised |
| Location | Munich |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 1 Aug 2026 |
| Last verified | 1 Aug 2026 |
| Source | Employer career page (ashby) |
Description
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.
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