AI Lead Engineer (Computer Vision)
OKX
Who We Are
At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance.
We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now!
What You’ll Be Doing
- 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.
- Collaborate with cross-functional teams to integrate these solutions into existing platforms while considering scalability and performance.
- Stay abreast of the latest industry trends and technological advancements in computer vision and security to ensure our solutions remain cutting-edge.
- Drive the strategic direction of the team, setting clear goals and metrics that align with the company’s objectives.
- Mentor and develop a team of computer vision engineers and researchers, fostering a culture of innovation and continuous improvement.
What We Look For In You
- Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning.
- 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.
- Demonstrated experience in leading the development of large-scale projects and innovations in areas such as liveness detection, face recognition, and anti-deepfake technologies.
- 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
- Strong leadership skills with the ability to motivate and guide a team of advanced technical professionals.
- Excellent problem-solving, leadership, and communication skills.
- Experience in startup environments and fast-paced companies or top-tier technology companies
- Published research or active engagement in the computer vision community, especially in topics relevant to biometric security.
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- More that we love to tell you along the process