ML Engineer: E-commerce Governance & Fraud

TikTok; Seattle (WA); Hybrid; USD 154,000 - 301,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Job summary

TikTok is seeking a Machine Learning Engineer for E-commerce Governance Algorithms in Seattle. You will design and implement algorithms to detect risks and fraud across contents, products, sellers, and creators, partnering with policy, product, and ops teams to shape product direction from an engineering perspective.

The Governance and Experience Algorithm team focuses on building a safe e-commerce ecosystem, enabling trustworthy discovery and shopping on the platform.

Qualifications

• Bachelor's degree in Computer Science or related technical field.
• 3+ working experience in machine learning, NLP or computer vision.
• Experience with C++, Python, Go or Java.
• Experience in anti-fraud/anti-spam or platform integrity is a plus.
• Strong sense of responsibility and good communication and teamwork.

Responsibilities

• Design and implement algorithms to detect and control risks/frauds in contents/products/sellers/creators.
• Collaborate with strategy, product managers, policy and ops teams to define products and drive initiatives from engineering viewpoints.

Skills

Machine Learning

NLP

Computer Vision

Communication

Education

Bachelor's degree in CS or related field

Tools

C++

Python

Go

Java

Job description

TikTok is seeking a Machine Learning Engineer for E-commerce Governance Algorithms in Seattle. You will design and implement algorithms to detect risks and fraud across contents, products, sellers, and creators, partnering with policy, product, and ops teams to shape product direction from an engineering perspective.

The Governance and Experience Algorithm team focuses on building a safe e-commerce ecosystem, enabling trustworthy discovery and shopping on the platform.