Job Overview

A 12-month structured program designed for fresh graduates to develop skills in e-commerce operations, marketing, and data analysis.

Job Responsibilities

 Support daily operations on e-commerce platforms and gradually take ownership of specific modules

 Participate in marketing campaign planning and execution, including key sales events

 Monitor and analyze campaign and sales data, provide insights for improvement

 Conduct basic user and market analysis to support business decisions

Job Requirements

 Bachelor’s degree, fresh graduates are welcome

 Strong interest in e-commerce, marketing, or digital business

 Good analytical thinking and data sensitivity

 Proactive, fast learner, and willing to take ownership

Why Join Us

 Structured 1-year training

 Hands-on exposure to real campaigns and business impact

 End-to-end learning across e-commerce operations and marketing

 Mentorship support with clear career progression

Opportunity for Bachelor's Degree / Master's Degree Holders that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for Postgraduate Students interested in exploring these opportunities.

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP)

Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Requirements for Joining Industrial Postgraduate Programme (IPP)

• Candidates must be strong in software engineering
• Bachelor's Degree or Master's Degree 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. 
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Remarks:

• 5 Work Days, 8.30am-5.30pm / 9am-6pm
• Office Near to Kaki Bukit MRT, Singapore
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Opportunity for Degree / Master's Degree Holders that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for Postgraduate Students interested in exploring these opportunities.

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP)

Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Requirements:

• Candidates must be strong in software engineering
• A Bachelor's degree or Master's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Remarks:

• 5 Work Days, 8.30am-5.30pm / 9am-6pm
• Office Near to Kaki Bukit MRT, Singapore
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Job Responsibilities

• Assist in developing and optimizing AI / machine learning models for real-world applications
• Train, evaluate, and improve model performance using structured datasets
• Support experimentation and implementation of deep learning techniques (e.g. CV, NLP)
• Collaborate with engineering teams to integrate AI models into products
• Stay updated with latest AI/ML developments and contribute ideas to projects

Job Requirements

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field (Master’s is a plus)
• Strong foundation in machine learning, data structures, and algorithms
• Familiarity with deep learning frameworks (e.g. TensorFlow or PyTorch)
• Basic understanding of computer vision or NLP concepts
• Strong problem-solving skills and ability to learn independently
• Good teamwork and communication skills

Nice to Have

• Exposure to Transformers, Vision Transformers (ViT), or multimodal models (VLMs)
• Experience with AI/ML projects, internships, or competitions
• Familiarity with model training, tuning, and evaluation techniques
• Knowledge of deploying ML models (APIs, cloud, etc.)

Why Join Us

• Kickstart Your Engineering Career
  Gain hands-on experience, with guidance from experienced engineers.
• Structured Learning & Mentorship
  Learn best practices
• Regional Exposure.
  Collaborate with local and regional teams, gaining valuable experience working in a cross-border environment.
• Growth & Career Development
  Clear progression path with opportunities to grow.
• Supportive Team Culture
  Work in a collaborative environment where knowledge sharing and continuous improvement are encouraged.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for postgraduate students interested in exploring these opportunities.

About Reolink

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP) Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS. Reolink is a rapidly growing tech company with strong international presence.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Opportunity for Postgraduate individual that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Candidates must be strong in software engineering

• A Bachelor's degree or Master's in Computer Science, Software Engineering, Computer Engineering, or a related field.
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.