AI Engineer – Model Training & Deployment
at Clera · 1-10 employees
Seed · $3M · Apr 2026
- Seniority
- Junior
- Work model
- Onsite
- Employment
- Full Time
- Location
- Munich
- Posted
- 5d ago
pythondockerpytorch
at Clera · 1-10 employees
Clera is a talent-matching platform that replaces traditional job applications by connecting candidates and hiring teams through curated introductions.
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.