Research Engineer – Biometrics & Computer Vision (Singapore)

We are seeking a Research Engineer to join our Singapore team to support the development and operationalization of advanced biometric and computer vision technologies.

The role will focus on adapting, enhancing, and operationalizing advanced biometric and computer vision technologies for regional deployments, customer engagements, and product innovation initiatives.

The successful candidate will possess strong expertise in multi-modal biometric technologies and will collaborate closely with regional R&D teams, local engineering teams, customers, and technology partners to develop solutions leveraging the company’s core algorithms and proprietary technologies, while also integrating commercially available hardware platforms and sensing technologies.

This role combines applied research, algorithm optimization, systems integration, and field experimentation to support both product development and customer-specific proof-of-concept (POC) initiatives.

Key Responsibilities

Algorithm Enhancement & Development

• Enhance and extend existing biometric and computer vision algorithms for:
• Multi-person detection and tracking within complex environments
• Improve robustness and performance of algorithms under real-world operational conditions, including:
• Variable illumination
• Crowded environments
• Occlusion
• Motion blur
• Low-resolution capture scenarios
• Conduct experimentation, benchmarking, and performance analysis for detection, tracking, and biometric matching systems.

Multi-modal Biometrics Research

• Work on existing face and iris biometric algorithms to improve:
• Detection range
• Capture quality
• Matching accuracy
• Throughput and operational performance
• Collaborate with hardware and systems teams to optimize the interaction between algorithms and sensing platforms, including:
• Optical systems
• Imaging sensors
• Infrared and multispectral technologies
• Edge processing hardware
• Evaluate and integrate commercially available hardware technologies and sensors to extend system capabilities.

Localization& Customer Optimization

• Collaborate with local engineering teams and customer stakeholders to adapt algorithms for regional and customer-specific operational environments.
• Analyze customer datasets and deployment conditions to:
• Optimize model performance
• Improve false acceptance / false rejection metrics
• Enhance operational usability
• Support proof-of-concept (POC) projects, pilot deployments, and field validation activities.
• Translate field feedback and operational insights into actionable R&D improvements.

Cross-Functional Collaboration

• Act as a technical bridge between regional R&D teams and the Singapore innovation and delivery teams.
• Work closely with product, engineering, and deployment teams to transition research outputs into deployable solutions.
• Document research findings, technical evaluations, and implementation recommendations.
• Contribute to technical roadmaps, innovation initiatives, and future product capabilities.

Required Qualifications

• Minimum 2–3 years of hands-on experience in core biometric technology research and development.
• Expert understanding of multi-modal biometric technologies, including face, iris, and related biometric modalities.
• Strong understanding of biometric system architectures, matching pipelines, and operational performance optimization.
• Relevant qualification in Computer Vision, Artificial Intelligence, Machine Learning, Computer Science, or related disciplines.
• Strong experience in computer vision and biometric systems, particularly in applied biometric research and algorithm development.
• Familiarity with image processing, sensor integration, and real-time processing systems.
• Experience working with large datasets, model evaluation, and algorithm optimization.
• Ability to work effectively across multicultural and geographically distributed teams.