TikTok
Machine Learning Engineer Manager, TikTok - Trust and Safety
TikTok, San Jose, California, United States, 95199
Overview
Machine Learning Engineer Manager, TikTok - Trust and Safety. Our Trust and Safety RD team builds machine learning models and systems to identify and defend internet abuse and fraud on our platform, protecting billions of users and publishers worldwide. We leverage state-of-the-art ML technologies to scale and improve data processing, aiming to provide the best user experience and joy across the platform. Responsibilities
Build efficient content recognition models for critical scenarios such as CSAM (Child Safety), CBS (Cross-border Sync), and Misinformation to enhance automation in content moderation. Address challenges in cross-lingual, multimodal, and low-resource environments to improve model generalization under complex compliance constraints. Collaborate with Recommendation, Policy, and Product teams to develop joint safety strategies, enabling flexible governance from content recognition to traffic control. Participate in the full-stack development process—from data curation and strategy modeling to model deployment—to continuously improve system response speed and compliance granularity. Qualifications
Minimum Qualifications: Experience in multimodal algorithm development, with exposure to large model applications in real-world scenarios; familiarity with content moderation tasks; modeling experience in safety or compliance domains is preferred. Strong understanding of compliance-driven requirements, with the ability to abstract policy needs and translate them into practical technical solutions. Skilled in cross-functional collaboration, capable of driving joint policy design and integrated system implementation. Preferred Qualifications: Publications in top conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV) or experience in competitive AI challenges. Highly responsible and self-motivated, with a strong interest in content safety technology and the ability to adapt to the fast-evolving landscape of risk governance. About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, with offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product helps people authentically express themselves, discover and connect. Our global, diverse teams make that possible. We strive to do great things with great people, lead with curiosity and humility, and drive impact in a rapidly growing tech company. We foster an "Always Day 1" mindset to achieve meaningful breakthroughs for our users and employees. Join us. Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and strive to reflect the communities we reach. TikTok Accommodation
TikTok provides reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons. If you need assistance or an accommodation, please reach out to us at https://tinyurl.com/RA-request Job Information
Compensation Description (Annually): The base salary range for this position in the selected city is $208,800 - $438,000 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. Base pay is part of the Total Package and may include discretionary bonuses, incentives, and restricted stock units. Benefits vary by location; employees have day-one access to medical, dental, and vision insurance, a 401(k) with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, and paid time off. The company reserves the right to modify benefits programs at any time.
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Machine Learning Engineer Manager, TikTok - Trust and Safety. Our Trust and Safety RD team builds machine learning models and systems to identify and defend internet abuse and fraud on our platform, protecting billions of users and publishers worldwide. We leverage state-of-the-art ML technologies to scale and improve data processing, aiming to provide the best user experience and joy across the platform. Responsibilities
Build efficient content recognition models for critical scenarios such as CSAM (Child Safety), CBS (Cross-border Sync), and Misinformation to enhance automation in content moderation. Address challenges in cross-lingual, multimodal, and low-resource environments to improve model generalization under complex compliance constraints. Collaborate with Recommendation, Policy, and Product teams to develop joint safety strategies, enabling flexible governance from content recognition to traffic control. Participate in the full-stack development process—from data curation and strategy modeling to model deployment—to continuously improve system response speed and compliance granularity. Qualifications
Minimum Qualifications: Experience in multimodal algorithm development, with exposure to large model applications in real-world scenarios; familiarity with content moderation tasks; modeling experience in safety or compliance domains is preferred. Strong understanding of compliance-driven requirements, with the ability to abstract policy needs and translate them into practical technical solutions. Skilled in cross-functional collaboration, capable of driving joint policy design and integrated system implementation. Preferred Qualifications: Publications in top conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV) or experience in competitive AI challenges. Highly responsible and self-motivated, with a strong interest in content safety technology and the ability to adapt to the fast-evolving landscape of risk governance. About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, with offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product helps people authentically express themselves, discover and connect. Our global, diverse teams make that possible. We strive to do great things with great people, lead with curiosity and humility, and drive impact in a rapidly growing tech company. We foster an "Always Day 1" mindset to achieve meaningful breakthroughs for our users and employees. Join us. Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and strive to reflect the communities we reach. TikTok Accommodation
TikTok provides reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons. If you need assistance or an accommodation, please reach out to us at https://tinyurl.com/RA-request Job Information
Compensation Description (Annually): The base salary range for this position in the selected city is $208,800 - $438,000 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. Base pay is part of the Total Package and may include discretionary bonuses, incentives, and restricted stock units. Benefits vary by location; employees have day-one access to medical, dental, and vision insurance, a 401(k) with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, and paid time off. The company reserves the right to modify benefits programs at any time.
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