Senior Research Scientist, TikTok - Trust and Safety

Senior Research Scientist, TikTok - Trust and Safety TikTok 4.5 ( ) San Jose, CA for later Why you should apply for a job to

TikTok :

4.5/5 in overall job satisfaction 4.5/5 in supportive management 100% say women are treated fairly and equally to men 100% would recommend this company to other women 100% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews Employee well-being is supported via hybrid work, short-term counseling through our EAP and a premium subscription to Headspace. We embrace diversity across all dimensions and provide employees with 9 employee resource groups globally, including our

WOMEN ERG.

Comprehensive parental leave policy as well as fertility treatment through healthcare providers with a $20,000 lifetime maximum. # 7524552693411973383 Position summary tions, and deploy them directly to TikTok's global platform. Responsibilities - What You'II Do Lead the design, training, and deployment of foundation models, including LLM/VLM, to support a broad range of content safety tasks across modalities. Build general-purpose foundation models with centralized compute and scalable architecture, aimed at improving risk detection, compliance understanding, and moderation automation. Tackle challenges in multilingual, multimodal, and low-resource scenarios by enhancing models' zero-shot and few-shot generalization across diverse safety domains. Design and maintain a multimodal safety annotation framework, supporting high-quality training data and evaluation signals for both image and video understanding tasks. Explore and implement RLHF strategies to fine-tune model alignment with evolving safety policies and user intent. Collaborate closely with infra, data, and platform teams to optimize large-scale training pipelines, improve model serving efficiency, and leverage centralized GPU resources effectively. Partner with product, policy, and recommendation teams to integrate safety-oriented models into real-world moderation workflows, and continuously optimize for performance and interpretability.

Qualifications Minimum Qualifications:

Solid experience in traditional machine learning, with over 2 years of research or development experience in large models; passion for technology, and ability to dive deep into coding and debugging. Strong problem-solving skills in the face of complex challenges, with a proven track record of technical breakthroughs and business impact; clear logic and sharp insight. Highly responsible, self-driven, with excellent learning and communication abilities; strong interest in staying up-to-date with advances in multimodal large models. A strong team player, open to exploring new technologies and driving continuous technical evolution.

Preferred Qualifications:

Publications in top conferences (e.g., Neur

IPS, ICML, ICLR, CVPR, ICCV

) or experience in competitive AI challenges. Job Information [For Pay Transparency] Compensation Description (annually) The base salary range for this position in the selected city is $212800 - $387600 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). 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: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment. Why you should apply for a job to

TikTok :

4.5/5 in overall job satisfaction 4.5/5 in supportive management 100% say women are treated fairly and equally to men 100% would recommend this company to other women 100% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews Employee well-being is supported via hybrid work, short-term counseling through our EAP and a premium subscription to Headspace. We embrace diversity across all dimensions and provide employees with 9 employee resource groups globally, including our

WOMEN ERG.

Comprehensive parental leave policy as well as fertility treatment through healthcare providers with a $20,000 lifetime maximum.