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TikTok

Short-form video platform with ads

Machine Learning Engineer - LLM, E-commerce Risk Control

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Machine Learning, Statistics, or a related technical field.
  • At least 2 years of experience delivering machine learning models in production environments.
  • Strong coding skills in Python, Java, or C++.
  • Familiarity with risk control systems or anomaly detection in large-scale, real-time environments.
  • Experience with large language model post-training applications, especially for agent-based systems.
  • Ability to explain technical solutions to non-technical partners.

Responsibilities

  • Develop and deploy supervised, unsupervised, and hybrid machine learning models to proactively detect fraud, abuse, and anomalies across seller behavior, user interactions, and transactions.
  • Explore retrieval-augmented generation; LangChain-based agents for task decomposition and external knowledge integration; prompt engineering and reasoning workflows connecting structured features, risk indicators, and real-time large language model-based decisions; knowledge distillation; and BERT-style architectures.
  • Build agentic workflows for complex cases, including modular task agents for structured data retrieval, open-source search, logical reasoning, and decision reflection, orchestrated by 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 operations, product managers, and infrastructure engineers to transform insights into scalable and explainable risk control strategies.

Desired Qualifications

  • A PhD in Machine Learning, natural language processing, or a related field.
  • Experience with retrieval-augmented generation, LangChain, or other agentic large language model systems.
  • Experience building explainable machine learning workflows with SHAP, LIME, or counterfactual analysis.
  • Experience with knowledge distillation, BERT, or Transformer models.
  • Experience with graph-based modeling, graph neural networks, or similarity search.
  • A background in e-commerce, financial fraud, or trust and safety.
  • Familiarity with large language model integration in decision systems.

About the Company

TikTok

Short-form video platform with ads

TikTok is a short-form mobile video platform that lets people create, discover, and share quick videos. Users upload vertical clips, edit them with built-in tools, and browse a personalized feed powered by an algorithm that highlights relevant content. Advertisers can use in-feed ads, branded hashtags, and the Business Center to plan and measure campaigns, making it easy for brands to reach a global audience. Its goal is to inspire creativity and bring joy by helping people express themselves and by connecting brands with a wide audience.

Company size
10,001+
Company stage
Grant
Total funding
$740K
Headquarters
Santa Monica, CA
Founded
2016

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