ML Engineer, Global Risk & Fraud Intelligence

TikTok Inc.; Seattle (WA); On-site; USD 154,000 - 301,000; Full time

Job summary

TikTok Inc. is seeking an experienced Machine Learning Engineer to join the E-Commerce Risk Control team. You will develop and deploy ML models to detect fraud and anomalies across seller behavior, user interactions, and transactions.

You will explore RAG, LangChain-based agents, and prompt engineering to connect risk indicators with real-time decisions. This role emphasizes scalable, explainable risk controls in a fast-growing ecommerce ecosystem.

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related technical field
• 2+ years of experience in delivering ML models in production environments
• Strong coding skills in Python (preferred), and/or Java/C++
• Familiarity with risk control systems or anomaly detection in large-scale, real-time environments
• Experience with LLM post-training applications, especially for agent-based systems
• Strong communication skills, with the ability to explain technical solutions to non-technical partners

Responsibilities

• Develop and deploy machine learning models to proactively detect fraud, abuse, and anomalies across seller behavior, user interactions, and transactions
• Explore cutting-edge techniques including Retrieval-Augmented Generation (RAG) and LangChain-based agents for task decomposition and external knowledge integration
• Design prompt engineering and reasoning workflows that connect structured features, risk indicators, and real-time LLM-based decisions
• Knowledge distillation and BERT-style architectures for scalable risk assessment
• Build agentic workflows for complex cases orchestrated via a central controller agent
• Collaborate with risk ops, product managers, and infra engineers to transform insights into scalable risk control strategies

Skills

Python

Java/C++

ML model deployment

Risk control systems

LLM applications

Communication skills

Education

Bachelor's/Master's in CS/ML/Stats

Tools

RAG

LangChain

SHAP/LIME explanations

BERT/Transformers

Job description

TikTok Inc. is seeking an experienced Machine Learning Engineer to join the E-Commerce Risk Control team. You will develop and deploy ML models to detect fraud and anomalies across seller behavior, user interactions, and transactions.

You will explore RAG, LangChain-based agents, and prompt engineering to connect risk indicators with real-time decisions. This role emphasizes scalable, explainable risk controls in a fast-growing ecommerce ecosystem.