AI Algorithms Specialist | PhD - Research

Reolink; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Medical Benefits Provided

Yearly Bonus & Performance Bonus

Job summary

Reolink, a leader in intelligent visual technology, seeks an AI Algorithms Specialist (PhD holder) in Singapore. The role focuses on developing and optimizing ML/DL algorithms, training models, and deploying them into security solutions.

Strong Python/C++ coding and experience with PyTorch/TensorFlow are essential. The position requires relocation near Tai Seng MRT by Aug/Sep 2026, with medical benefits and annual/performance bonuses.

Qualifications

• PhD holder required in a related field as listed in the job description.
• Strong programming skills in Python and C/C++ with solid ML fundamentals.
• Hands-on experience with major ML frameworks such as PyTorch and TensorFlow.

Responsibilities

• Develop and optimize machine learning and deep learning algorithms.
• Train and evaluate AI models, including neural networks and decision trees.
• Collaborate with teams to deploy algorithms into products.

Skills

Python

C/C++

Machine Learning

Deep Learning

Model optimization

Education

PhD in Computer Science

Tools

PyTorch

TensorFlow

Caffe

MxNet

ONNX

Job description

AI Algorithms Specialist | PhD - Research

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 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 Requirements:

PHD HolderinComputer 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 latestSOTA implementations.

Strong programming skill inPython, C/C++, proficient in mathematical / statistical concepts and exceptional coding skills

Hands-on experience withAI / ML frameworksbe familiar such asCaffe,PyTorch, TensorFlow,MxNetetc.

Have rich project experience inmachine learninganddeep learning, be familiar withcommon algorithm models, such asCNN, 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, includingNPU / GPU / DSP / ARM on mobile platformsandCPU / GPU on server platformsis 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.

Job Responsibilities:

Algorithm Development: Development andoptimizationof machine learning and deep learning algorithms to solve complex business problems.

Model Training and Evaluation:Participatein 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 ofprojects,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 deploynew technologies, drive innovations to create value to marketneeds, 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:Maintaincomprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders.