PhD Holder | AI Research Scientist

Reolink; Singapore; On-site; SGD 150,000 - 230,000; Full time

Benefits offered by this job

Medical & Dental Benefits Provided

Job summary

Reolink in Singapore is seeking an AI Algorithms Engineer (PhD Only) to develop and optimize ML/DL algorithms for surveillance applications. You will work with Python and C/C++, leveraging state-of-the-art techniques and frameworks such as PyTorch, TensorFlow, and MXNet.

A PhD in a related field is required to join the team. The role is based at the office near Kaki Bukit, with relocation near Tai Seng MRT planned for mid-August 2026.

Qualifications

• PhD holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, AI, Automatic Control, Operations Research, Biology, Physics/Quantum Computing, Neuroscience, Statistics or related field.
• Familiar with common machine learning and deep learning algorithms and latest SOTA implementations.
• Strong programming in Python, C/C++, solid mathematical/statistical foundations.
• Experience with AI/ML frameworks such as Caffe, PyTorch, TensorFlow, MXNet.
• Experience with CNN, RNN, LSTM, Transformer, ViT and ability to improve models.
• Experience with neural network design, tuning and optimization is a plus.
• Experience with model compression and deployment on NPU/GPU/DSP/ARM and CPU/GPU.
• Strong problem solving, independent research, and teamwork are valued.

Responsibilities

• Algorithm Development: develop and optimize ML/DL algorithms to solve business problems.
• Model Training and Evaluation: construct and train AI models; evaluate and improve performance.
• Data Analysis and Preprocessing: data collection, cleaning, feature engineering, guide data labeling.
• Collaboration and Deployment: integrate models into business systems and drive product improvements.
• Research and Innovations: stay updated with AI/ML advances; explore new technologies to add market value.
• Documentation and Reporting: document experiments and communicate results to stakeholders.

Skills

Machine learning

Deep learning

Python

C/C++

AI/ML frameworks

CNN/RNN/LSTM/Transformer/ViT

Model compression

Deployment platforms

Problem solving

Team spirit

Education

PhD in CS/Math/EE

Tools

Caffe

PyTorch

TensorFlow

MXNet

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.

• 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.

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.

During the recruitment process, we collect and process personal data to assess your suitability for employment. This may include your name, phone number, email address, CV/resume, educational background, work experience, interview records, assessment results, references, and, where permitted by law, information obtained through background checks.

We collect most of this information directly from you through your application, interviews, assessments, correspondence, and recruitment platforms. We may also obtain relevant information from referees, recruitment agencies, background screening providers, or other lawful sources.

We implement appropriate technical and organisational security measures to protect your personal data. We retain candidate personal data only for as long as necessary for the recruitment process, applicable legal requirements, dispute resolution, and recordkeeping obligations. Thereafter, your data will be securely deleted or anonymized.