AI Algorithms Engineer
Posted 12 Oct 2026
Advertised as “PhD Holder | AI Research Scientist”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
No salary listed for this role.
Field of studyApplied Mathematics, Artificial Intelligence, Automatic Control, Biology, Computer Science, Electrical Engineering, Neuroscience, Operations Research, Pattern Recognition, Physics, Quantum Computing, Statistics (or related)
Study levelDoctorate
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.
- AI Algorithms Engineer (PHD Only)
- 5 Work Days Per Week
- Office Near to Kaki Bukit MRT, Singapore
- Relocate Near Tai Seng MRT in Mid-August 2026
- Medical & Dental Benefits Provided
- Entitled to Yearly Bonus & Performance Bonus
Job Requirements:
- PHD Holder 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.
- 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 familiar the design, parameter tuning and optimization methods of neural network models is a plus
- Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus.
- Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits.