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

Source: https://realanalystjobs.com/job/machine-learning-engineer-llm-e-commerce-risk-control-tiktok-13ffb5fd
Machine Learning Engineer (LLM)- E-commerce Risk Control at TikTok, an on-site role based in Seattle, Washington, USA. Experience level: 2+ Years. First seen on RealAnalystJobs on 15 November 2026, read from TikTok's own careers page (TikTok), which RealAnalystJobs re-checks daily and removes the role when it closes. TikTok has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).

Updated 15 November 2026.

## Key facts

- Company: [TikTok](https://realanalystjobs.com/companies/tiktok)
- Location: Seattle, Washington, USA
- Work mode: On-site
- First seen: Nov 15, 2026
- Employment type: Full time
- Experience level: 2+ Years
- Source: TikTok's careers page (TikTok), re-checked daily

Skills: [Python](https://realanalystjobs.com/skills/python)

## Visa sponsorship

The posting does not say.

TikTok had H-1B petitions approved for 454 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/tiktok#h1b-record)

## About this role

Team Introduction
The E-Commerce Risk Control (ECRC) team is responsible for securing TikTok's global e-commerce platforms, such as TikTok Shop and Toko. We safeguard buyers, sellers, creators, and the ecosystem from fraudulent, abusive, or malicious behavior. Our mission is to make TikTok the safest and most trusted online marketplace worldwide. We achieve this through:
- Advanced machine learning systems to detect and prevent evolving business risks (e.g., account takeovers, collusion, incentive abuse, brushing, click-farms);
- A hybrid approach combining machine learning models, retrieval-augmented reasoning, and multi-agent decision-making systems;
- Cross-functional collaboration with product, ops, security, and trust teams.

What You'll Do
- 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.

Why Join Us
- Work on real-world, high-impact challenges in global risk mitigation
- Be part of a cutting-edge ML + LLM team shaping the future of risk intelligence
- Enjoy a culture of autonomy, innovation, and cross-disciplinary collaboration

Qualifications
Minimum 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

Preferred Qualifications
-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

Description from TikTok's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-engineer-llm-e-commerce-risk-control-tiktok-13ffb5fd) and use Apply now there to reach the employer's application. The listing is re-checked against TikTok's careers page daily and removed when it closes.

## TikTok

101 open analyst roles on Real Analyst Jobs. [More roles at TikTok](https://realanalystjobs.com/companies/tiktok)

## More like this

### Other open roles at TikTok

- [Business Analyst, Business Integrity](https://realanalystjobs.com/job/business-analyst-business-integrity-tiktok-c28aba20), Singapore
- [Business Analyst - Global Business Solutions - São Paulo](https://realanalystjobs.com/job/business-analyst-global-business-solutions-sao-paulo-tiktok-14e33f1e), Sao Paulo, Brazil
- [Global Quality Operations AI Solutions Specialist](https://realanalystjobs.com/job/global-quality-operations-ai-solutions-specialist-tiktok-b968d27f), Singapore
- [Monetization Strategy & Operations Manager - GBS](https://realanalystjobs.com/job/monetization-strategy-and-operations-manager-gbs-tiktok-d9b1af11), Buenos Aires, Argentina
- [Risk Analyst](https://realanalystjobs.com/job/risk-analyst-tiktok-900d7b2d), San Jose California, USA (On-site)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-engineer-llm-e-commerce-risk-control-tiktok-13ffb5fd)
- [TikTok on Real Analyst Jobs](https://realanalystjobs.com/companies/tiktok)
- [All analyst jobs](https://realanalystjobs.com/jobs)
