Machine Learning Engineer Manager, TikTok - Trust and Safety

Machine Learning Engineer Manager, TikTok - Trust and Safety

Responsibilities

Build efficient content recognition models for critical scenarios such as CSAM (Child Safety), CBS (Cross-border Sync), and Misinformation to enhance automation capability of 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.

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. At TikTok, 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 is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy—a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. We are passionate about this and hope you are too.

Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https : / / tinyurl.com / RA-request

Compensation and Benefits

Base salary range for this position in the selected city : $208,800 - $438,000 annually.

Additional bonuses, incentives, and restricted stock units may be available.

Benefits include medical, dental, vision insurance, 401(k) with company match, paid parental leave, disability coverage, life insurance, well‑being benefits.

Paid holidays : 10 days; paid sick days : 10 days; paid personal time : 17 days (accruals increase with tenure).

Benefits may vary by employment nature and country of work location.

Legal Notice

In compliance with the Los Angeles County fair chance ordinance and state law, qualified applicants with arrest or conviction records will be considered for employment on a case‑by‑case basis in accordance with all applicable laws.

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