Agentic AI Engineer / Specialist (PhD Holder)

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 is seeking an Agentic AI Engineer / Specialist (PhD holder) in Singapore. You will develop advanced AI algorithms for surveillance tasks, focusing on perception, tracking and optimization.

The role requires a PhD and strong ML/DL background, with hands-on Python/C++ coding and experience with ML frameworks. The position offers a five-day work week, medical benefits, and eligibility for yearly and performance bonuses.

Qualifications

• PhD required in a relevant field such as Computer Science, Mathematics, Electrical Engineering, or related areas.
• Familiar with machine learning and deep learning algorithms and keeping up with SOTA implementations.
• Strong programming in Python and C/C++, with exceptional coding skills.
• Hands-on experience with AI/ML frameworks and model deployment.
• Experience in ML/DL model architectures such as CNN, RNN, LSTM, Transformer, ViT; able to improve models.

Responsibilities

• Algorithm development for machine learning and deep learning models.
• Model training, evaluation, and optimization for real-world data.
• Data preprocessing, feature engineering, and data-labeling guidance.
• Collaborate with teams to deploy models into production systems.
• Research and implement new AI/ML techniques to enhance product capabilities.

Skills

Python

C/C++

ML/DL

PyTorch

TensorFlow

CNN

RNN

Transformer

Vision

Deployment

Education

PhD in CS/Math/EE/AI

Tools

Caffe

TorchScript

MxNet

Job description

Agentic AI Engineer / Specialist (PhD Holder)

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
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Job Requirements:

• PhDinComputer 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.

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.