AI Engineer – Model Training & Deployment

Meyandy LLC; München; Vor Ort; EUR 45.000 - 70.000; Vollzeit

Benefits dieser Stelle

Equity for early team members

Zusammenfassung

Meyandy LLC in Munich is seeking a junior AI Engineer to join a focused ML and robotics team. You will work on the core deep learning stack enabling 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. Equity for early team members is available.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

Deep learning

Linux CLI

Tools

Docker

Slurm

ONNX

DVC

Jobbeschreibung

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.

Eligibility

Candidates must be eligible to work in Germany; visa sponsorship is not provided.

Mots-clés : Engineering.