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Fellow Engineer

The person in this role is a results-focused individual who excels at solving problems at the cutting edge of data science with strong technical abilities to take on challenges in deep learning, machine learning, data extraction/analysis, and algorithm development in the blockchain industry.

Roles & Responsibilities

  • Lead the explorations of various cutting-edge models, formulate appropriate algorithms and strategies for different business scenarios, continuously optimize effects and performance, and enhance user experience; and decide the optimal model for the biometric and automated smart contract validation.

  • Provide technical leadership in the enhancement and refinement of the algorithm-driven system of the our business engines (blockchain and biometric technology).

  • Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

  • Build and prototype analysis pipelines iteratively to provide insights at scale.

  • Work in a multi-disciplinary environment with specialists focusing on deep learning, machine learning, formal validation, and anti-spoofing biometric recognition under the doctrine of privacy protections.

  • Add real-world impact to your academic expertise, as you are encouraged to write ‘black-papers’ and present at meetings and conferences.

  • Attend global conferences, preferably as speaker to promote our technology and data science related products.


  • PhD in Computer Science with Artificial Intelligence focus from a prestigious university.

  • 10 years of relevant work experience.

  • Skilled in one or more: C++, Python, Computer Vision, MATLAB, Linux.

  • Bonus points if you are skilled in human behaviour, formal validations, video analytics.

  • Excellent spoken and written English.

  • Willingness to relocate to Singapore.

Benefits & Work Environment

  • Medical, dental insurance.

  • Marriage leave, Compassionate leave, etc.

  • Staff stock options & performance-based token allocation.

  • English-speaking environment; multicultural, dynamic and team-focused.

  • On-site shuttle bus.

Please apply by sending your resume to

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