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 looking for a highly skilled Lead Engineer in our Computer Vision team. This role requires an expert in not only developing security measures for face and ID verification processes but also in pioneering face detection, face recognition, and anti-deepfake technologies. The successful candidate will lead efforts in enhancing the security and integrity of biometric processing systems against a variety of sophisticated threats.
What You’ll Be Doing
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Lead the development of cutting-edge computer vision technologies in face detection, face recognition, and anti-deepfake measures alongside improving liveness detection and anti-forgery solutions.
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Collaborate with cross-functional teams to integrate these solutions into existing platforms while considering scalability and performance.
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Stay abreast of the latest industry trends and technological advancements in computer vision and security to ensure our solutions remain cutting-edge.
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Drive the strategic direction of the team, setting clear goals and metrics that align with the company’s objectives.
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Mentor and develop a team of computer vision engineers and researchers, fostering a culture of innovation and continuous improvement.
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Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning.
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Minimum of 10 years of experience in industry with focus on computer vision technology development, with hands-on projects implementation experience on liveness detection and anti-forgery measures.
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Demonstrated experience in leading the development of large-scale projects and innovations in areas such as liveness detection, face recognition, and anti-deepfake technologies.
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Extensive knowledge of and practical experience with AI and machine learning technologies, especially those applied to computer vision. Contribution to popular open-source projects on platforms like GitHub will be a plus
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Strong leadership skills with the ability to motivate and guide a team of advanced technical professionals.
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Excellent problem-solving, leadership, and communication skills.
Preferred Qualifications:
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Experience in startup environments and fast-paced companies or top-tier technology companies
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Published research or active engagement in the computer vision community, especially in topics relevant to biometric security.
Perks & Benefits
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Competitive total compensation package
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L&D programs and Education subsidy for employees' growth and development
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Various team building programs and company events
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