Related skills
python pandas computer vision scikit-learn numpy📋 Description
- Data Curation: Mine and curate a Golden Dataset with edge cases and long-tail events.
- Schema Design: Build a unified labeling taxonomy for ground truth across modalities.
- Evaluation Engine: Create a Python-based framework to quantify model reliability across modalities.
🎯 Requirements
- Pursuing a Bachelor's or Master's in robotics, AI, data engineering, or similar.
- Strong ML and computer vision understanding.
- Proficient in Python and Pandas/NumPy/Scikit-learn.
- Familiar with OpenCV and CV metrics (mAP, IoU).
- Statistical foundations: distribution, sampling bias, variance.
- Team player who can work autonomously and communicate in English.
Bonus Points
- Hands-on experience with robotic systems.
- Experience with DVC or labeling tools (CVAT, Labelbox).
- Relevant extracurriculars welcome.
🎁 Benefits
- Dynamic, fast-growing environment.
- Attractive employee stock ownership plan.
- Job in Zurich, Switzerland.
- Fair market salary.
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