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AI Engineer – Model Training & Deployment

Clera · Not provided by source

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Last seen by MeritLog August 11, 2026Source: ArbeitnowSource version: arbeitnow-job-board-v1

Source: Arbeitnow. Open the original listing for current details. Availability is not verified for this retained page.

Job details

Work model
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Salary
Not listed by source
Location
Munich

Job 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. Find Jobs in Germany on Arbeitnow

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