The impact you’ll make

This internship role will focus on Image Segmentation / Image Processing / Computer Vision (CV). The successful candidate will focus on the Model assisted active learning, ML-based label quality scoring, assistive data labeling, and data management tool for image segmentation. Specifically, the intern will be involved in the design and development of iterative and assistive data labeling tool backed by Lam’s most powerful image segmentation, Foundation Models.

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Who we’re looking for

Post-Graduates (Final Year Students - Master / PhD Program) with strong passion and understanding of Deep Learning (DL), Machine Learning (ML), and Computer Vision (CV).

• Good knowledge and understanding in machine learning, deep learning, image processing / computer vision. Knowledge on Image segmentation is a MUST.
• Strong proficiency in Python programming and debugging, associated libraries like OpenCV, PyTorch, PyQt, GUI, NumPy, Scikit-learn, etc.
• Self-driven personality with the team-work mindset and self-reliant working style.
• Previous relevant works in image segmentation, UNET, SAM, is a big plus.

This is purely a data science (DL for computer vision) work and hence, NO knowledge on semiconductor, hardware, etc. is required.

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