Machine Learning Engineer - E-commerce Risk Control

TikTok seeks a Machine Learning Engineer focused on E-commerce Risk Control in Seattle to design ML solutions that prevent and detect risks across TikTok Shop and related platforms, collaborating with cross-functional teams to secure the ecosystem.

Responsibilities

• Invent, implement, and deploy state of the art machine learning algorithms to respond to and mitigate business risks across TikTok products and platforms
• Prototype new solutions, define experiments to test hypotheses, and share insights with product and engineering teams
• Partner with multidisciplinary teams to enhance current automation and risk defense workflows
• Develop efficient data querying infrastructure for offline and online analysis, uncover evolving attack patterns, and identify opportunities to strengthen defenses
• Define risk control metrics, quantify and monitor risk related business and operational indicators, and align stakeholders on data-driven goals
• Document technical work and communicate results through writing, visualizations, and presentations to diverse audiences

Requirements

• Master’s degree in Computer Science, Mathematics, Machine Learning, or related STEM field; or equivalent experience
• 2+ years of hands-on experience building and delivering ML models for large-scale projects
• Track record of developing models and visualizations using programming and scripting languages (Scala, Python, R, Ruby, Matlab)
• Experience with forecasting, machine learning, and statistical tools, plus clear communication of results, plans, and risks
• Creative problem solving and strong analytical thinking
• A PhD in CS, Machine Learning, Statistics, Operations Research, or related field
• 3+ years of industry experience in predictive modeling and analysis
• Experience collaborating with product, operations, and engineering teams is a plus
• Excellent analytical and communication skills with the ability to influence stakeholders
• Experience in e-commerce or online companies in fraud or risk control functions

Technologies

• Java
• C++
• Python
• Scala
• R
• Ruby
• Matlab

Benefits

• Medical, dental, and vision insurance
• 401(k) with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time, prorated at start and accruing with tenure
• Additional discretionary bonuses or incentives
• Restricted stock units

Job details

• Location: Seattle, WA (onsite)
• Employment type: Regular
• Salary: USD 148,200 - 300,960 per year
• Job code: A45354
• Education: Master’s degree
• Experience: 2+ years