Machine Learning Engineer, E-commerce Risk Control

7 days ago

Singapore TIKTOK PTE. LTD. Full time

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, Singapore, Jakarta, Seoul and Tokyo.

**The E-Commerce Risk Control (ECRC) team is missioned**:

- To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator;
- By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform;
- Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

The ECRC team works to minimize the damage of inauthentic behaviors on Tiktok E-Commerce platforms (e.g. TikTok Shop, Jumanji, Fanno), covering multiple classical and novel community and business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.

In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles - You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

**Responsibilities**
- Build rules, algorithms and machine learning models, to respond to and mitigate business risks in Tiktok products/platforms. Such risks include and are not limited to account integrity, scapler,deal-hunter, malicious activities, brushing, click-farm, information leakage etc.
- Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the 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.

**Qualifications**
- Solid data science skills. Proficiency in statistical analytical tools, such as SQL, R and Python.
- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

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