AI Engineer – Model Training & Deployment

Job details

Work model

Not provided by source

Salary

Not listed by source

Location

Munich

Job description

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. Find Jobs in Germany on Arbeitnow

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