TikTok · 3 weeks ago
Machine Learning Engineer/ Applied Data Scientist, E-Commerce Risk Control - USDS
TikTok is the leading destination for short-form mobile video, and they are seeking a Machine Learning Engineer/Applied Data Scientist to join their E-Commerce Risk Control team. The role involves developing machine learning algorithms to mitigate business risks in TikTok's e-commerce platforms, utilizing advanced techniques to enhance risk detection and model performance.
Content CreatorsContent DiscoveryMedia and EntertainmentSocial MediaVideo
Responsibilities
Invent, implement, and deploy cutting-edge machine learning algorithms, build prototypes, and explore entirely new conceptual solutions to respond to and mitigate business risks in TikTok e-commerce/platforms, including but not limited to fraudulent merchants, cheating influencers, malicious users, information security issues, and cross-domain risk challenges
Leverage techniques such as representation learning, graph models, deep learning, transfer learning, and multi-task learning to improve the efficiency of problem detection, thereby rapidly blocking risks and optimizing various metrics in the e-commerce community ecosystem
Monitor and attribute key metrics to quickly detect changes in risk and business trends, proactively identify potential attacks, continuously refine and adjust risk control strategies, and drive risk governance development and business model improvements
Mine and analyze massive e-commerce content and user behavior data to build both short-term and long-term user profiles, improve model precision and recall, and enhance robustness, automation, and generalization capabilities
Advance risk ML capabilities in privacy/compliance, interpretability, risk perception, and analysis; innovate models and algorithms tailored to the characteristics of content e-commerce, and build an industry-leading content e-commerce risk control algorithm system
Qualification
Required
Master's degree in Computer Science, Mathematics, Machine Learning, or other relevant STEM disciplines
2+ years of hands-on experience in building and delivering machine learning models for large-scale projects in internet companies
Proficiency in C++/Java/Python with strong coding skills, and familiarity with at least one common machine learning/deep learning platform
Deep understanding of supervised learning, unsupervised learning, and deep learning techniques, and the ability to build business algorithm models using relevant algorithms
Ability to think critically, objectively; reason and communicate in a results-oriented, data-driven manner; and work with high autonomy
Preferred
PhD in Computer Science, Machine Learning, Statistics, Operations Research, or related field
4+ years of hands-on experience in building and delivering machine learning models for large-scale projects in internet companies
Experience in e-commerce/internet companies in fraud or risk control roles, with a track record of building fraud detection, anomaly detection, or similar risk control models using relevant algorithms
Ability to keep up with and proactively apply relevant technological advancements, incorporating the latest technologies (e.g., LLM, Multi-agent systems) into daily work
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
TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance.
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)
Funding
Current Stage
Late StageRecent News
Social Media Today
2026-01-08
Social Media Today
2026-01-08
Company data provided by crunchbase