AI Intern
2 weeks ago
About the Role
We're looking for a motivated intern to join our Vision AI team in building cutting-edge foundation models tailored to real-world industrial use cases. You will work alongside experienced engineers and researchers on projects involving data collection, model experimentation, and knowledge exploration—bringing in your fresh perspective and curiosity.
Key Responsibilities
- Curate and manage large-scale image datasets from various sources, ensuring accuracy and relevance.
- Conduct literature reviews and competitive landscape analysis on foundation models, dataset scaling, and self-supervised learning techniques.
- Support model pretraining experiments and benchmarking pipelines.
- Collaborate with the engineering team to maintain dataset infrastructure and optimize storage (e.g., NAS, cloud).
- Assist in documentation and internal knowledge-sharing sessions.
Preferred Qualifications
- Currently pursuing a Bachelor's or Master's in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
- Hands-on experience or familiarity with Python and libraries such as PyTorch, OpenCV, or scikit-image.
- Basic understanding of computer vision (e.g., CNNs, feature extraction, segmentation).
- Bonus: Experience working with datasets like ImageNet, COCO, or custom pipelines.
What You'll Gain
- Real-world exposure to vision foundation models and experimental research workflows.
- Practical experience with data pipelines and ML model training processes.
- Mentorship and hands-on guidance from seasoned engineers.
- Opportunity to contribute meaningfully to high-impact AI projects.
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