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  • 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.

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