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Visual AI Data Engineering - internship(m/w/x)
Curating edge cases and long-tail events for a "Golden Dataset" in industrial robotics AI. Strong Python and computer vision fundamentals required. Employee stock ownership plan.
Requirements
- Bachelor's or Master's degree in robotics, AI, data engineering, or similar
- Strong understanding of machine learning and computer vision
- Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn)
- Familiarity with OpenCV and computer vision metrics (mAP, IoU)
- Strong grasp of statistical fundamentals (data distribution, sampling bias, variance)
- Team player with ability to work autonomously
- Excellent English communication skills (verbal and written)
- Hands-on experience with robotic systems
- Experience with data versioning tools (DVC, W&B Artifacts) or data labeling platforms (CVAT, Labelbox)
- Relevant extra-curricular activities (student teams, personal hobbies)
- Schengen-Area citizen or student at ETH/EPFL requiring compulsory internship
Tasks
- Mine and curate a "Golden Dataset" of edge cases
- Curate rare "long-tail" events for the dataset
- Architect a unified labeling taxonomy
- Define ground truth for inspection modalities
- Develop a Python evaluation framework
- Quantify model reliability automatically
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Pandas
- NumPy
- Scikit-learn
- OpenCV
- DVC
- W&B Artifacts
- CVAT
- Labelbox
Benefits
Competitive Pay
- Employee stock ownership plan
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Visual AI Data Engineering - internship(m/w/x)
Curating edge cases and long-tail events for a "Golden Dataset" in industrial robotics AI. Strong Python and computer vision fundamentals required. Employee stock ownership plan.
Requirements
- Bachelor's or Master's degree in robotics, AI, data engineering, or similar
- Strong understanding of machine learning and computer vision
- Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn)
- Familiarity with OpenCV and computer vision metrics (mAP, IoU)
- Strong grasp of statistical fundamentals (data distribution, sampling bias, variance)
- Team player with ability to work autonomously
- Excellent English communication skills (verbal and written)
- Hands-on experience with robotic systems
- Experience with data versioning tools (DVC, W&B Artifacts) or data labeling platforms (CVAT, Labelbox)
- Relevant extra-curricular activities (student teams, personal hobbies)
- Schengen-Area citizen or student at ETH/EPFL requiring compulsory internship
Tasks
- Mine and curate a "Golden Dataset" of edge cases
- Curate rare "long-tail" events for the dataset
- Architect a unified labeling taxonomy
- Define ground truth for inspection modalities
- Develop a Python evaluation framework
- Quantify model reliability automatically
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Pandas
- NumPy
- Scikit-learn
- OpenCV
- DVC
- W&B Artifacts
- CVAT
- Labelbox
Benefits
Competitive Pay
- Employee stock ownership plan
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
ANYbotics
Industry
Engineering
Description
ANYbotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries.
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