Reolink
Intelligent visual technology
ArtificialIntelligenceEngineer|AIAgent|ComputerVision|VisionLanguageModels
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Artificial Intelligence Engineer | AI Agent | Computer Vision | Vision Language Models at Reolink”
Industry & Context.
Full Job Description
Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Per Week Current Office Near to Kaki Bukit MRT Will Relocate To Tai Seng MRT in August 2026 Medical & Dental Benefits Provided Entitled to Yearly Bonus & Performance Bonus Current Teams are focusing projects on AI Agent, Computer Vision, Vision Language Models (VLMs) Job Requirements: Bachelor's or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Minimum 2 Years of working experience as AI Specialist, AI Algorithm Engineer or AI Research Engineer is required for this post. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mo
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