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TikTok · 2 months ago

Machine Learning Engineer (LLM)- E-commerce Risk Control

Seattle, WA

Full-time

Onsite

Entry, Mid Level

$130K/yr - $246K/yr

2+ years exp

TikTok is the leading destination for short-form mobile video, and they are seeking a Machine Learning Engineer for their E-commerce Risk Control team. This role involves developing advanced machine learning systems to detect and prevent fraud and abuse in TikTok's global e-commerce platforms.

Content CreatorsContent DiscoveryMedia and EntertainmentSocial MediaVideo

H1B Sponsor Likely

Responsibilities

Develop and deploy machine learning models (supervised, unsupervised, hybrid) to proactively detect fraud, abuse, and anomalies across seller behavior, user interactions, and transactions

Explore cutting-edge techniques including:

Retrieval-Augmented Generation (RAG)

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

Build agentic workflows for complex cases, including modular task agents (e.g., structured data retrieval, open-source search, logical reasoning, decision reflection) orchestrated via a central controller agent

Work with large-scale behavioral datasets to uncover fraud signals, design monitoring pipelines, and propose new feature generation strategies

Collaborate with risk ops, product managers, and infra engineers to transform insights into scalable and explainable risk control strategies

Qualification

Machine LearningPythonLLM ApplicationsAnomaly DetectionRisk Control SystemsGraph Neural NetworksCommunication SkillsCollaboration

Required

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

Preferred

PhD in Machine Learning, NLP, or a related field

Experience with: RAG, LangChain, or other agentic LLM systems

Building explainable ML workflows with SHAP, LIME, or counterfactual analysis

Knowledge distillation, BERT, Transformer models

Graph-based modeling, graph neural networks, or similarity search

Background in e-commerce, financial fraud, or trust and safety is highly valued

Familiarity with LLM integration in decision systems is a strong plus

Benefits

Employees have day one access to medical, dental, and vision insurance

A 401(k) savings plan 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 upon hire with increasing accruals by tenure)

Company

TikTok

Glassdoor3.4

TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance.

Founded in 2003

Los Angeles, California, USA

10001+ employees

https://www.tiktok.com

H1B Sponsorship

TikTok has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (979)

2024 (601)

2023 (387)

2022 (322)

2021 (133)

2020 (72)