TikTok · 3 weeks ago
Senior Machine Learning Engineer, E-Commerce Risk Control - USDS
TikTok is the leading destination for short-form mobile video, and they are seeking a Senior Machine Learning Engineer for their E-Commerce Risk Control team. The role involves developing machine learning algorithms to address and mitigate business risks on TikTok's e-commerce platforms.
Content CreatorsContent DiscoveryMedia and EntertainmentSocial MediaVideo
Responsibilities
Invent, implement, and deploy state-of-the-art machine learning algorithms, build prototypes, and explore entirely new conceptual solutions to address 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
Utilize techniques such as representation learning, graph models, deep learning, transfer learning, and multi-task learning to improve the efficiency of problem detection, enabling rapid risk mitigation and optimizing various metrics of the e-commerce community ecosystem
Monitor and attribute key metrics to promptly perceive changes in risk and business, proactively identify potential attacks, continuously optimize and adjust risk control strategies, and drive the development of risk governance and business model adjustments
Mine and analyze massive e-commerce content and user behavior data to build both short-term and long-term user profiles, improving model accuracy and recall, as well as enhancing robustness, automation, and generalization capabilities
Advance risk machine learning capabilities in privacy/compliance, interpretability, risk perception, and analysis; innovate models and algorithms tailored to the characteristics of content e-commerce, building 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 fields
4+ years of hands-on experience building and delivering machine learning models for large-scale projects in internet companies
Proficient in C++/Java/Python with strong coding skills, and familiarity with at least one common machine learning/deep learning platform
Experience in e-commerce/internet companies in fraud or risk control roles, with a track record of building fraud detection, anomaly detection, or other risk control models using relevant algorithms
Strong critical, objective, and thinking skills; able to reason and communicate in a results-oriented, data-driven manner with high autonomy
Preferred
PhD in Computer Science, Machine Learning, Statistics, Operations Research, or related fields
5+ years of hands-on experience in building and delivering large-scale risk control projects in internet/e-commerce companies, with proven success in large-scale anti-fraud data mining; strong coding (backend, infrastructure, algorithms) and system design skills
Strong technical leadership combined with hands-on data mining and machine learning expertise; passionate about tackling TikTok's data scale and business complexity; able to identify, plan, and lead both quick-win tactics and long-term strategies, guiding teams to counteract malicious actors on the platform
High sense of ownership, excellent communication and collaboration skills; able to end-to-end manage one or more critical, highly adversarial, constantly expanding, and cross-functional platform/community security business areas
Benefits
Medical, dental, and vision insurance
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
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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
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