Tiktok - Seattle, WA

posted 2 days ago

Full-time - Mid Level
Seattle, WA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. The E-Commerce Risk Control (ECRC) team plays a crucial role in ensuring the safety and integrity of TikTok's e-commerce platform. This team is dedicated to protecting users, including buyers, sellers, and creators, by creating a secure online shopping experience. The ECRC team is tasked with building state-of-the-art risk control solutions and operational processes while collaborating with various cross-functional teams and stakeholders. The primary goal of the ECRC team is to prevent and detect risks on TikTok's e-commerce platforms, such as TikTok Shop. This involves addressing various business risk areas, including account integrity, incentive abuse, malicious activities, and information leakage. As a Backend Software Engineer on this team, you will be responsible for designing and building a robust service framework that supports risk detection machine learning models. You will work closely with machine learning engineers to optimize model performance and reliability, ensuring that the e-commerce platform remains a safe and trusted environment for transactions. In this role, you will also develop efficient data querying infrastructure for both offline and online analysis, helping to uncover evolving attack patterns and identify weaknesses in risk defense solutions. You will define risk control measurements, quantify and monitor risk-related metrics, and promote data-driven practices within the risk teams. Effective communication and documentation of results will be essential, as you will need to convey complex information to diverse audiences through writing, visualizations, and presentations.

Responsibilities

  • Design and build a state-of-the-art service framework that provides a robust and flexible foundation for risk detection machine learning models.
  • Work closely with machine learning engineers to optimize model performance and reliability.
  • Collaborate with cross-functional teams from multidisciplinary science, engineering, and business backgrounds to enhance current automation processes.
  • Develop efficient data querying infrastructure for both offline and online analysis, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from discoveries.
  • Define risk control measurements, quantify, generalize and monitor risk-related business and operational metrics.
  • Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.
  • Maintain technical documents and communicate results to diverse audiences with effective writing, visualizations, and presentations.

Requirements

  • Master or bachelor degrees in Computer science, or other relevant STEM majors.
  • Experience programming in Java, C++, Python or related language.
  • 3+ years of hands-on experience in building and maintaining distributed services.
  • Ability to think creatively and solve problems.

Nice-to-haves

  • Experience with Risk and Fraud detection systems.
  • Experience with high performance AI engines, or high traffic online services.
  • Experience with realtime/stream data processing.
  • Experience collaborating with product, operations and engineering teams is a plus.
  • Excellent analytical and communication skills and ability to influence stakeholders.

Benefits

  • 100% premium coverage for employee medical insurance
  • Approximately 75% premium coverage for dependents
  • Health Savings Account (HSA) with a company match
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
  • Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care
  • 10 paid holidays per year
  • 17 days of Paid Personal Time Off (PPTO)
  • 10 paid sick days per year
  • 12 weeks of paid Parental leave
  • 8 weeks of paid Supplemental Disability
  • Mental and emotional health benefits through EAP and Lyra
  • 401K company match
  • Gym and cellphone service reimbursements
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