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.
Key Highlights | AI Algorithms Engineer (PHD Holder Only)
5 Work Days Per Week
Office Near to Kaki Bukit MRT, Singapore
- Relocate Near Tai Seng MRT in August / September 2026
Medical Benefits Provided
Entitled to Yearly Bonus & Performance Bonus
Job Responsibilities:
Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems.
Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy.
Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work.
Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products.
Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition.
Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders.
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.
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.
Skills Required
- PhD in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, AI, Automatic Control, Operations Research, Biology, Physics/Quantum Computing, Neuroscience, Statistics or related field
- Familiarity with common machine learning and deep learning algorithms and SOTA implementations
- Strong programming skills in Python and C/C++
- Hands-on experience with AI/ML frameworks: Caffe, PyTorch, TensorFlow, MxNet
- Project experience in machine learning and deep learning; familiarity with CNN, RNN, LSTM, Transformer, ViT
- Experience with data collection, cleaning, preprocessing, feature engineering, and guiding data labeling
- Experience designing, tuning, and optimizing neural network parameters
- Experience in model compression and deployment/optimization on NPU/GPU/DSP/ARM (mobile) and CPU/GPU (server)
- Strong logical thinking, problem-solving ability, and ability to work independently and in teams
What We Do
At Reolink, we believe that the more you see, the stronger your connections become. As a global leader in intelligent visual technology, we deliver innovative security solutions that empower families, small and medium-sized businesses, and communities to protect what matters most. Our mission is simple: to make cutting-edge, reliable, and accessible security technology available to everyone — from households seeking peace of mind to businesses safeguarding their growth. Beyond homes and workplaces, we are committed to wildlife conservation, supporting global initiatives such as the Olive Ridley Project, where our 4G solar-powered cameras help protect sea turtles, and the Horstmann Trust in the UK, where our HD cameras monitor vulture breeding and growth. Trusted by over 2 million families and businesses across 110+ countries, Reolink continues to redefine security and connectivity for a safer, smarter, and more connected world.
