14 hours ago
Munich, GermanyEntry Level
Responsibilities
- Train and implement deep learning models for the robotics product.
- Improve model architectures and training pipelines for real-world performance.
- Support deployment of trained models to customer and on-site edge environments.
- Collaborate with the ML and robotics team on the technical roadmap.
- Run reproducible experiments and maintain rigorous model evaluation.
Requirements
- At least 1 year of hands-on experience training deep learning models using Python and PyTorch through academic projects, a thesis, or industry work.
- Solid Python skills and practical PyTorch experience for model development.
- Experience with Docker for environment replication and model deployment.
- Comfort working in Linux or command-line environments.
- Familiarity with Slurm or similar cluster job scheduling systems.
- Experience with ONNX or other model export and interoperability tools.
- Background or strong interest in computer vision, robotics, or physical systems deployment.
- Interest in edge computing and on-device model deployment.
- Cloud deployment experience is a plus.
- Familiarity with data versioning tools such as DVC is a plus.
- Fluency in English is required; German is a bonus.
Benefits
- Equity participation is included.
- The role is fully on-site at the Munich, Bavaria, Germany office.
- Visa sponsorship is not available.