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.

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 (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. 3+ years of 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 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

Responsibilities (SRE Operations 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.

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

Responsibilities (SRE Operations 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: (AI / ML Engineer)

• 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. 

Key Highlights: (AI / ML Engineer)

• 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.

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

Responsibilities (SRE Operations 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).

Role Overview

We are seeking a visionary and hands-on Algorithm Manager to lead our data science and algorithm engineering team. In this role, you will bridge the gap between complex mathematical research and scalable product implementation. You will be responsible for defining the technical roadmap, mentoring a team of high-performing engineers, and ensuring our algorithms drive significant business impact.

Key Responsibilities

l   Team Leadership: Lead, recruit, and mentor a team of algorithm engineers and data scientists. Foster a culture of technical excellence and continuous learning.

l   Technical Strategy: Define the long-term vision for algorithm development, including machine learning (ML), optimization, or signal processing (depending on the specific domain).

l   Project Management: Oversee the end-to-end lifecycle of algorithm development—from research and prototyping to production deployment and monitoring.

l   Cross-functional Collaboration: Work closely with Product, Hardware, and Software Engineering teams to integrate algorithms into user-facing products.

l   Innovation: Stay at the forefront of AI/ML research, identifying new technologies and methodologies that can give the company a competitive edge.

l   Code Quality & Standards: Establish best practices for code reviews, testing, and documentation within the algorithm team.

Required Qualifications

l   Education: Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related quantitative field.

l   Experience: 7+ years of experience in algorithm development or machine learning.

l   3+ years of experience in a leadership or people management role.

l   Technical Proficiency: Expertise in Python, C++, or Java

l   Deep understanding of ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).

l   Strong foundation in linear algebra, probability, and optimization theory.

l   System Design: Proven track record of deploying large-scale algorithmic systems in a production environment.

Preferred Skills (The "Plus" Factors)

l   Experience with Big Data technologies (Spark, Flink) or Cloud platforms (AWS, GCP, Azure).

l   A strong publication record in top-tier conferences (ICML, NeurIPS, CVPR, etc.).

l   Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

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 with fast-track growth

 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

About Reolink

Reolink, a leader in intelligent visual technology for the home and business, 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 keep expanding our presence and bringing our innovations to more markets around the world. Reolink is committed to delivering advanced, reliable, and user-centric solutions that empower people to protect what matters most.

Key Responsibilities

• Global Compliance and Strategic Management:​ Develop, lead, and oversee the company’s global legal compliance strategies and framework to ensure all operations across regions fully comply with local laws, regulations, and international standards.

• Legal System Development and Contract Management:​ Establish, refine, and optimize the company’s global contract management system and standardized legal documents; lead or review major, complex commercial contracts, agreements, and investment-related legal documents; build a comprehensive global legal risk prevention and management system.

• Dispute Resolution and Business Support:​ Represent the company in handling significant and complex litigation, arbitration, and other legal disputes; provide on-site legal leadership and support in key business negotiations, M&A, financing, and other strategic matters to safeguard the company’s core interests.

• Legal Advisory and Risk Control:​ Provide authoritative and forward-looking legal advice and solutions to senior management and various business departments; identify, assess, and alert legal and compliance risks in global business operations.

• Team Leadership and External Resource Management:​ Lead and manage the global legal team (including legal professionals in Singapore and overseas locations); efficiently manage and coordinate external lawyers and legal advisors to ensure quality and cost-effectiveness in handling global legal matters.

• Regulatory Research and Knowledge Management:​ Continuously research and monitor policies and legal developments in key countries/regions; establish and maintain the company’s global legal information database to support business decision-making.

Qualifications:​

• Education:​ Master’s degree or above in law from a well-recognized institution; additional overseas legal education background (e.g., LL.M., J.D.) or foreign legal qualification is preferred.

• Experience:​ Minimum 8–10 years of experience in top-tier law firms and/or multinational corporate legal departments, including at least 5 years in a management role (e.g., Legal Director, Senior Legal Counsel). Experience in technology, manufacturing, or internet industries, and a background in building or managing a global legal system, is highly advantageous.

• Professional Competence:​ Proficient in corporate law, contract law, foreign investment, data privacy, intellectual property, and dispute resolution. Demonstrated experience and a successful track record in handling cross-border transactions, compliance projects, and complex legal disputes.

• Language and Communication:​ Excellent bilingual communication (Chinese and English), negotiation, and drafting skills, with the ability to use English as the primary working language. Strong leadership, cross-cultural collaboration skills, and the ability to clearly articulate complex legal issues to senior executives.

• Personal Attributes:​ Strong business acumen, strategic thinking, and risk judgment. Proactive, detail-oriented, responsible, and capable of leading a team under pressure in a fast-paced, international environment.

Why Join Us

• Work on globally scaled, high-impact backend systems.
• Join a rapidly growing tech company with strong international presence.
• Contribute to core architectural decisions and own truly impactful system components.
• Collaborate with talented teams across multiple geographies.