Senior Staff Engineer, Computer Vision at OKX - Singapore, Singapore | est. $155,000 - $200,000

Job Description

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

Introduction
We are seeking a highly skilled Senior Staff Engineer to join our Computer Vision team. This role is focused on:
- Deepfake Generation and Detection – Developing advanced algorithms to create and identify synthetic media, ensuring the integrity of biometric security.
- Injection Attack Prevention – Researching and implementing defenses against injection attacks in biometric authentication systems.
- General OCR for Global IC Cards – Enhancing Optical Character Recognition (OCR) solutions for secure and accurate extraction of information from various identity cards worldwide.
- Image/Video Generation in AIGC – Exploring and applying AI-generated content (AIGC) techniques to create and manipulate images and videos.
- Multi-Modality Security – Leveraging a combination of images, videos, and user behaviors to enhance security through cross-modal AI techniques.

The ideal candidate will contribute to the development of innovative solutions to safeguard biometric processing systems and enhance security across multiple AI-driven applications.

What You’ll Be Doing

Develop and implement state-of-the-art computer vision technologies, including deepfake detection, general OCR recognition, and AI-generated media processing.
Research and build robust solutions for biometric security, including injection attack prevention and multi-modal authentication techniques.
Collaborate with cross-functional teams to integrate solutions into existing platforms, ensuring scalability and performance.
Stay up-to-date with industry trends and advancements in computer vision, machine learning, and security.
Contribute to research, experimentation, and innovation in biometric security solutions.

What We Look For In You

Bachelor’s degree (or higher) in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning.

At least 8 years of industry experience in developing computer vision solutions, including liveness detection and anti-forgery measures.

Strong experience in AI and machine learning technologies, particularly in applications related to computer vision.

Hands-on experience in developing large-scale projects involving face recognition, liveness detection, and deepfake detection.

Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.

Strong analytical and problem-solving skills.

Preferred Qualifications:

Experience working in fast-paced tech companies or startup environments.
Contributions to open-source projects or research publications in the field of computer vision and biometric security.
Familiarity with edge AI and real-time processing for computer vision applications.

Perks & Benefits

Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
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Salary Information

Salary: est. $155,000 - $200,000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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