·      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 ( Junior / Senior Backend Engineer)

Design & Development

• Take ownership of the design, development, refactoring, and performance optimization of core system components, delivering high-quality and maintainable code.

Technical Innovation & Problem-Solving

• Research, design, and implement innovative solutions to address complex business and technical problems, particularly in high-concurrency scenarios.

System Architecture

• Contribute to system architecture decisions, focusing on scalability, high availability, and fault tolerance.

Full-Lifecycle Participation

• Actively participate in the entire software development lifecycle, from requirements analysis and system design to testing, deployment, and operational monitoring.

Collaboration & Knowledge Sharing

• Work effectively with local and regional team members, as well as business unit partners.
• Share knowledge, promote best practices, and help elevate the team's overall technical capabilities.

Job Requirements

1. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline
2. Relevant software development experience.
3. Strong understanding of computer science fundamentals (operating systems, network principles, data structures, and algorithms)
4. Programming Languages: High proficiency in Java (including JVM internals and performance tuning) or Node.js (including its event-driven architecture and asynchronous programming model). Proficiency in both is a significant plus.
5. Frameworks & Middleware: Proficient with common open-source frameworks and tools such as Kafka, RocketMQ, Dubbo, Zookeeper, and Redis.
6. Deep knowledge of MySQL, including schema design, SQL optimization, and database scaling strategies.
7. System Experience: Proven, hands-on experience in building, deploying, and maintaining high-concurrency, high-performance, and high-availability systems.

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 acrossmore than 110 countries and regions worldwide. Building on this trust, wecontinue 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.

·      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

Responsibilities ( Site Reliability Engineer | SRE Engineer)

High Availability and Stability Maintenance of Application Systems:

• Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization.

Compliance and Secure Access Construction for Application Systems:

• Ensure operational design, processes, and data management comply with relevant privacy and data protection laws.
• Ensure compliance with full auditing and regulatory checks and provide auditing materials as required.

Change and Release Management:

• Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows.

Automation and Infrastructure Optimization:

• Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability.

Other Operational Practices and Work Arrangements:

• Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation.

Qualifications

1. Bachelor’s Degree or above; a degree in computer science or a related field is preferred.
2. At least 2 years of experience in cloud services products and application operations.
3. Familiar with cloud platform deployment and management (AWS, Azure, Google Cloud, etc.).
4. Experience with automation operations and container technologies (Docker, Kubernetes).
5. Familiarity with CI / CD processes and tools (e.g Jenkins, GitLab CI).

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.

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

Key Highlights: 

• 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: 

• 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: 

1. Bachelor's 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. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

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

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. 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. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. 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. 

8. 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. 

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

·      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

Responsibilities ( Site Reliability Engineer | SRE Engineer)

High Availability and Stability Maintenance of Application Systems:

• Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization.

Compliance and Secure Access Construction for Application Systems:

• Ensure operational design, processes, and data management comply with relevant privacy and data protection laws.
• Ensure compliance with full auditing and regulatory checks and provide auditing materials as required.

Change and Release Management:

• Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows.

Automation and Infrastructure Optimization:

• Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability.

Other Operational Practices and Work Arrangements:

• Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation.

Qualifications

1. Bachelor’s Degree or above; a degree in computer science or a related field is preferred.
2. At least 2 years of experience in cloud services products and application operations.
3. Familiar with cloud platform deployment and management (AWS, Azure, Google Cloud, etc.).
4. Experience with automation operations and container technologies (Docker, Kubernetes).
5. Familiarity with CI / CD processes and tools (e.g Jenkins, GitLab CI).

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: 

• 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: 

• 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: 

1. Bachelor's 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. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

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

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. 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. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. 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. 

8. 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. 

·      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 ( Junior / Senior Backend Engineer)

Design & Development

• Take ownership of the design, development, refactoring, and performance optimization of core system components, delivering high-quality and maintainable code.

Technical Innovation & Problem-Solving

• Research, design, and implement innovative solutions to address complex business and technical problems, particularly in high-concurrency scenarios.

System Architecture

• Contribute to system architecture decisions, focusing on scalability, high availability, and fault tolerance.

Full-Lifecycle Participation

• Actively participate in the entire software development lifecycle, from requirements analysis and system design to testing, deployment, and operational monitoring.

Collaboration & Knowledge Sharing

• Work effectively with local and regional team members, as well as business unit partners.
• Share knowledge, promote best practices, and help elevate the team's overall technical capabilities.

Job Requirements

1. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline
2. Relevant software development experience.
3. Strong understanding of computer science fundamentals (operating systems, network principles, data structures, and algorithms)
4. Programming Languages: High proficiency in Java (including JVM internals and performance tuning) or Node.js (including its event-driven architecture and asynchronous programming model). Proficiency in both is a significant plus.
5. Frameworks & Middleware: Proficient with common open-source frameworks and tools such as Kafka, RocketMQ, Dubbo, Zookeeper, and Redis.
6. Deep knowledge of MySQL, including schema design, SQL optimization, and database scaling strategies.
7. System Experience: Proven, hands-on experience in building, deploying, and maintaining high-concurrency, high-performance, and high-availability systems.

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 acrossmore than 110 countries and regions worldwide. Building on this trust, wecontinue 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.

About the Role

We are seeking a dependable and experienced full-time Administration Officer to support office operations, basic HR administrative tasks, and employee engagement initiatives. This role contributes to a well‑organised, inclusive, and collaborative workplace by supporting teams across the organisation.

Key Responsibilities

Office & Administrative Operations

• Manage day‑to‑day administrative activities, including document processing, data entry, records management, and procurement of office and pantry supplies.
• Oversee pantry operations (ordering, stock management, and vendor coordination) to ensure a well‑maintained office environment.
• Coordinate meeting schedules, conference room bookings, and travel arrangements.
• Liaise with building management and office vendors to follow up on facilities management and service matters.

HR Administrative Support

• Provide basic administrative support for HR processes as required, such as onboarding coordination (e.g. biometric facial recognition registration for new hires), etc.
• Support compliance with internal policies and procedures through accurate documentation and proper filing.

Employee Engagement & Internal Coordination

• Assist in planning and executing employee engagement initiatives, including staff events, training sessions, and team‑building activities.
• Support internal communication efforts by disseminating updates and coordinating information across departments when necessary.

Finance & Procurement Support

• Assist with basic administrative finance tasks, including organizing invoices and supporting simple tracking of office‑related or employee engagement expenses.

General Duties

• Ensure the office environment remains tidy, orderly, and conducive to productivity.
• Carry out other administrative and support duties as reasonably assigned.

Requirements

Education

• Minimum Diploma in Business Administration, Management, Secretarial Studies, or a related field.

Experience

• 3–5 years of experience in an administrative, office support, or operations‑related role.

Technical Skills

• Proficient in Microsoft Office applications (Word, Excel, PowerPoint, Outlook).

Professional Skills

• Strong organizational and time‑management skills with attention to detail.
• Good written and verbal communication skills.
• Ability to work independently as well as collaboratively within a team.
• Adaptable and able to manage multiple priorities in a dynamic environment.

Preferred (Non‑Mandatory)

• Ability to communicate in more than one language is a plus, as it supports collaboration in a diverse workforce (not a job requirement).
• Demonstrated collaborative mindset and willingness to support cross‑functional teams.

Fair Employment 

• We are committed to fair and merit‑based employment practices in line with TAFEP and MOM guidelines.
• All employment decisions are based on job‑related skills, experience, and qualifications, regardless of age, gender, nationality, race, religion, marital status, or family responsibilities.
• Applicants must have the legal right to work in Singapore.
• Salary commensurate with experience and responsibilities.

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.

·      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

Responsibilities ( Site Reliability Engineer | SRE Engineer)

High Availability and Stability Maintenance of Application Systems:

• Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization.

Compliance and Secure Access Construction for Application Systems:

• Ensure operational design, processes, and data management comply with relevant privacy and data protection laws.
• Ensure compliance with full auditing and regulatory checks and provide auditing materials as required.

Change and Release Management:

• Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows.

Automation and Infrastructure Optimization:

• Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability.

Other Operational Practices and Work Arrangements:

• Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation.

Qualifications

1. Bachelor’s Degree or above; a degree in computer science or a related field is preferred.
2. At least 2 years of experience in cloud services products and application operations.
3. Familiar with cloud platform deployment and management (AWS, Azure, Google Cloud, etc.).
4. Experience with automation operations and container technologies (Docker, Kubernetes).
5. Familiarity with CI / CD processes and tools (e.g Jenkins, GitLab CI).

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.

·      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

Responsibilities ( Site Reliability Engineer | SRE Engineer)

High Availability and Stability Maintenance of Application Systems:

• Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization.

Compliance and Secure Access Construction for Application Systems:

• Ensure operational design, processes, and data management comply with relevant privacy and data protection laws.
• Ensure compliance with full auditing and regulatory checks and provide auditing materials as required.

Change and Release Management:

• Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows.

Automation and Infrastructure Optimization:

• Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability.

Other Operational Practices and Work Arrangements:

• Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation.

Qualifications

1. Bachelor’s Degree or above; a degree in computer science or a related field is preferred.
2. At least 2 years of experience in cloud services products and application operations.
3. Familiar with cloud platform deployment and management (AWS, Azure, Google Cloud, etc.).
4. Experience with automation operations and container technologies (Docker, Kubernetes).
5. Familiarity with CI / CD processes and tools (e.g Jenkins, GitLab CI).

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.

• 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 Requirements: 

1. Preferable 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. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

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

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. 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. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. 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. 

8. 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. 

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. 

• 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 Requirements: 

1. Preferable 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. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

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

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. 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. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. 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. 

8. 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. 

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.