Released at

2024-Jan-21

Close at

2024-Mar-30

Job Type

FULLTIME

Salary

SGD 12000 per MONTH

Location

Singapore, , Singapore

Company Description

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy.
TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo.

Job Description

    Team introduction:
    The Global Payments team provides professional payment solutions with smooth functioning of payment channels to all global businesses of ByteDance to support the expansion and growth of ByteDance’s global businesses.
    Global payments has offices including: Beijing, Shanghai , Shenzhen, Hangzhou , Singapore and Mountain View. The Global Payments Compliance team's duty is to establish a comprehensive and strong compliance foundation with sanction screening, transaction monitoring, risk rating system to systematically enable business models, revenue growth, and protect executives from possible legal liabilities for Bytedance (e.g. TikTok Live, TikTok Shop, Resso).
     
    Responsibilities
    - Understand each business line and payment scenarios well, build models for KYC in compliance, such as IC card and document OCR, IC card anti-spoofing, IC card quality check
    - Optimize and iterate compliance strategy standardly, systematically, timely and proactively
    - Design and develop algorithms and models to detect suspicious transactions and accounts effectively
    - Follow up the latest research progress in the fields of computer vision and KYC in the finance / technology industry, and apply it in the work

Requirements

    - Bachelor and above with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines;
    - 2 years and above relevant experience, with solid experience with data structures and algorithms - Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, etc.
    - Familiar with big data related frameworks and applications, those who are familiar with MR or Spark are preferred.
    - In-depth knowledge in a certain field of multimedia and computer vision, including but not limited to: image search, image/video classification and recognition, image segmentation, object detection, OCR, graph neural networks, multimodal, unsupervised and self-supervised learning, etc.
    - Familiar with the training and deployment of one or more framework models of TensorFlow/PyTorch/MXNet, and understand training acceleration methods such as hybrid precision training and distributed training

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