
Leading short-form video platform
Machine Learning Engineer (LLM)- E-commerce Risk Control
報酬
$129,960 - $246,240
福利厚生
•育児休暇
•ストックオプション
•健康保険
•無制限休暇
必須スキル
Python
TensorFlow
Airflow
About Us
Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
Size: 5001-10000 employees
Industry: Entertainment & Gaming, Social Media, Technology
Responsibilities
Team Introduction
The E-Commerce Risk Control (ECRC) team is responsible for securing Tik Tok's global e-commerce platforms, such as Tik Tok Shop and Toko. We safeguard buyers, sellers, creators, and the ecosystem from fraudulent, abusive, or malicious behavior. Our mission is to make Tik Tok the safest and most trusted online marketplace worldwide. We achieve this through:
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Advanced machine learning systems to detect and prevent evolving business risks (e.g., account takeovers, collusion, incentive abuse, brushing, click-farms);
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A hybrid approach combining machine learning models, retrieval-augmented reasoning, and multi-agent decision-making systems;
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Cross-functional collaboration with product, ops, security, and trust teams.
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What You'll Do
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Develop and deploy machine learning models (supervised, unsupervised, hybrid) to proactively detect fraud, abuse, and anomalies across seller behavior, user interactions, and transactions.
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Explore cutting-edge techniques including:
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Retrieval-Augmented Generation (RAG)
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Lang Chain-based agents for task decomposition and external knowledge integration
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Design prompt engineering and reasoning workflows that connect structured features, risk indicators, and real-time LLM-based decisions.
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Knowledge Distillation and BERT-style architectures
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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.
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Work with large-scale behavioral datasets to uncover fraud signals, design monitoring pipelines, and propose new feature generation strategies.
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Collaborate with risk ops, product managers, and infra engineers to transform insights into scalable and explainable risk control strategies.
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Why Join Us
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Work on real-world, high-impact challenges in global risk mitigation
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Be part of a cutting-edge ML + LLM team shaping the future of risk intelligence
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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, Lang Chain, 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
Job InformationFor Pay Transparency Compensation Description (annually)
The base salary range for this position in the selected city is $129960 - $246240 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. 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, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
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The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and3. Exercising sound judgment.
Client-provided location(s): Seattle, WA
Job ID: Tik Tok-7538573630772726034
Employment Type: OTHER
Posted: 2025-11-07T20:19:06
Apply on company site
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
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TikTokについて

TikTok
Late StageWhile TikTok remains accessible to civilians in most countries and regions, a minority — including India, Iran, China, and Afghanistan — have imposed nationwide bans. In the United States, legislation providing for a full ban was enacted but not implemented because of a restructure of U.S.
10,001+
従業員数
Los Angeles
本社所在地
$220B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
2.8
報酬
4.0
企業文化
4.2
キャリア
3.5
経営陣
2.5
72%
知人への推奨率
良い点
Great team dynamics and support
Innovative and creative culture
Good learning opportunities
改善点
Poor work-life balance and long hours
High stress and overwhelming workload
Management and leadership issues
給与レンジ
58件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · ANTI-FRAUD DATA ANALYST - USDS
1件のレポート
$143,750
年収総額
基本給
$125,000
ストック
-
ボーナス
-
$143,750
$143,750
面接レビュー
レビュー2件
難易度
4.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 0%
ネガティブ 100%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Behavioral Interview
5
Final Round
6
Offer
よくある質問
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
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