- Opportunity to work on cuttingedge imaging research
- Direct impact: translate academic innovations into real-world products
About Our Client
Our client is a
global technology company with deep expertise in
advanced imaging sensors and AI systems. Their R&D center in Singapore focuses on the seamless integration of artificial intelligence with next-generation hardware platforms, driving innovation across mobile, embedded, and intelligent device applications. The team combines world-class engineering talent with a culture of creativity, collaboration, and technical excellence.
Job Description
- Research and develop state-of-the-art image processing algorithms, including multi-frame fusion, denoising, deblurring, low-light enhancement, super-resolution, and HDR.
- Build, optimize, and deploy image quality algorithms to enhance imaging performance across various sensor data inputs.
- Design and implement multimodal sensor data solutions, driving proof-of-concept development and validation.
- Collaborate closely with cross-functional engineering teams to integrate imaging algorithms into production systems and customer-facing products.
- Conduct experiments, evaluate model performance, and continuously refine solutions for efficiency and accuracy.
The Successful Applicant
- The ideal candidate holds a Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in AI, image processing, or computer vision.
- They bring strong expertise in designing computationally efficient imaging algorithms-particularly for mobile or resource-constrained platforms-and possess solid understanding of deep learning architectures including GANs or diffusion models. They are proficient in Python and C/C++, with hands-on experience in PyTorch or TensorFlow, and demonstrate curiosity, problemsolving ability, and adaptability.
- Candidates with top-tier publications, academic competition achievements, or industry experience in imaging, AI, or machine learning will stand out.
What's on Offer
Candidates will gain the opportunity to work with cutting-edge AI and sensor technologies, contribute to impactful real-world products, and collaborate with world-class researchers and engineers.
Contact: Lydia Chen (Lic No: R22108104 / EA no: 18C9065)
Quote job ref: JN-022026-6956396
Michael Page International Pte Limited, company number 199804751N (including Page Executive (53295516A) and Page Personnel Recruitment Pte Ltd (Registration Number: 201736642C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.
