Overview
About the Role This is an entry-level AI Engineer position on an ML and robotics team, focused on developing, training, and deploying deep learning models that enable robotic work cells to perceive and act in real industrial environments. You will have hands-on impact from day one, with room to grow into deployment and MLOps responsibilities as the stack matures. What You'll Do Train and implement deep learning models as part of a 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 getting models running in on-site customer and edge settings. Design and run reproducible experiments to drive measurable improvements. What We're Looking For At least 1 year of hands-on
Full job description
Full Job Description
About the Role
This is an entry-level AI Engineer position on an ML and robotics team, focused on developing, training, and deploying deep learning models that enable robotic work cells to perceive and act in real industrial environments. You will have hands-on impact from day one, with room to grow into deployment and MLOps responsibilities as the stack matures.
What You'll Do
-
Train and implement deep learning models as part of a 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 getting models running in on-site customer and edge settings.
-
Design and run reproducible experiments to drive measurable improvements.
What We're Looking For
-
At least 1 year of hands-on experience training deep learning models using Python and PyTorch, whether from academic projects, a thesis, or industry work, with documented results and evaluation metrics.
-
Proficiency in Python and PyTorch for model development.
-
Experience with Docker for deployment and environment replication.
-
Comfort working in a Linux and 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 and interoperability tools, plus interest in edge and on-device deployment.
-
Background or strong interest in computer vision, robotics, or physical systems.
-
Familiarity with data versioning tools such as DVC.
-
Strong analytical mindset and a habit of rigorous, reproducible experimentation.
-
Fluency in English; German language skills are a plus.
Location
This role is fully on-site in Munich, Bavaria, Germany. Visa sponsorship is not available; candidates must already be eligible to work in Germany.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Discovered directly from the employer’s public Ashby Job Postings API. The complete public role content and compensation metadata were normalized into safe candidate-facing sections.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Clera (ashby) ↗Browse current Job and Scholarship listings from Clera (ashby) →
