Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd)

ByteDance • San Jose, CA

90d

About The Position

The E-Commerce Risk Control (ECRC) team's mission is to protect TikTok e-commerce users, including and beyond buyer, seller, creator. The goal is to make TikTok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform. This is achieved through building software systems, risk models, and operational processes, as well as collaborating with many cross-functional teams and stakeholders. The ECRC team works to prevent and detect any risk attempts in TikTok e-commerce platforms (e.g. TikTok Shop) and to mitigate the negative impact on customers and Selling Partners (SPs), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage, etc. The team develops state-of-the-art Machine Learning (ML) solutions to prevent customers, SPs, and TikTok from being impacted by bad actors' actions and practices to gain unfair business advantages. Additionally, the team empowers TikTok teams, both internal to GNE and external, to reduce risk attempts by utilizing their mechanisms. Successful candidates must be able to commit to an onboarding date by the end of the year 2026. Applications will be reviewed on a rolling basis, and candidates are encouraged to apply early.

Responsibilities

• Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms.
• Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams.
• Collaborate with multidisciplinary teams to enhance current automation processes.
• Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions.
• Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control.
• Document technical processes and effectively communicate results through writing, visualizations, and presentations.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Publishing Industries
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees