Kerja AI Research Intern (Image Restoration and Enhancement) di Pentas Vision Pte Ltd West Region (Singapore) - Maukerja

Leveraging Sony’s world-leading sensor technology as a subsidiary of Sony Semiconductor Solutions Corporation (SSS), Pentas Vision is committed to advancing the deep integration of AI and imaging systems.

We are looking for a motivated AI researcher intern to support research and development in image enhancement and next-generation sensor algorithms. This role is ideal for students eager to gain hands-on experience with modern imaging technologies and AI-based image restoration techniques.

What you will be doing

• Support the research and development of image enhancement algorithms, including denoising, deblurring, super-resolution, low-light enhancement, and HDR.
• Explore and evaluate state-of-the-art AI models, including diffusion-based and deep learning–based restoration methods.
• Assist in prototyping and validating algorithms for advanced image sensor concepts.
• Perform experiments, analyze results, and prepare technical summaries and visualizations of image quality improvements.
• Work with real sensor data to test algorithms and contribute to proof-of-concept (PoC) development.
• Collaborate with the team to support integration and testing of imaging algorithms in larger system pipelines.

What you should have

• Bachelor’s degree or above (ongoing or completed) in Electrical Engineering (EE), Computer Science (CS), Computer Engineering (CE), or a related engineering major.
• Strong interest in image processing, computer vision, or AI-driven imaging applications.
• Basic programming skills in Python, with familiarity in common ML or CV libraries.
• Curiosity to explore new algorithms, run experiments, and understand image quality evaluation.
• Good analytical thinking, attention to detail, and willingness to learn.
• Effective communication skills and the ability to document findings clearly.

Preferred Qualifications

• Exposure to deep learning frameworks (e.g., PyTorch or TensorFlow).
• Experience with any imaging-related coursework or projects (e.g., super-resolution, denoising, HDR, low-light enhancement).
• Familiarity with modern image sensor concepts or computational photography is a plus.
• Interest in diffusion models, generative AI, or modern image restoration research.