Tiktok - Seattle, WA
posted 4 days ago
TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy to over 1 billion users globally. The E-Commerce Risk Control (ECRC) team is dedicated to ensuring a safe and trusted e-commerce environment for all users, including buyers, sellers, and creators. This team is focused on protecting the integrity of the e-commerce ecosystem by building software systems, risk models, and operational processes that collaborate with various cross-functional teams and stakeholders. The ECRC team works diligently to prevent and detect risks on TikTok's e-commerce platforms, such as TikTok Shop and Fanno. Their efforts aim to mitigate negative impacts on customers and Selling Partners (SPs) by addressing various business risk areas, including account integrity, incentive abuse, malicious activities, and information leakage. The team achieves its mission by developing state-of-the-art Machine Learning (ML) solutions that protect users from bad actors and empower TikTok teams to reduce risk attempts through effective mechanisms. As a Machine Learning Engineer within the ECRC team, you will be responsible for inventing, implementing, and deploying advanced machine learning algorithms to address and mitigate business risks across TikTok's products and platforms. You will build prototypes, explore innovative solutions, and conduct experiments to validate hypotheses, while effectively communicating insights and recommendations to Product and Tech teams. Collaboration with cross-functional teams from diverse backgrounds will be essential to enhance current automation processes and develop efficient data querying infrastructure for both offline and online analysis. Additionally, you will define risk control measurements, quantify and monitor risk-related metrics, and promote data-driven practices within the risk teams.