Research Scientist Graduate - (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Start (BS/MS)

Research Scientist Graduate - (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Start (BS/MS) Location: Seattle Employment Type: Regular Job Code: A10877A Responsibilities Develop computer vision or multimodality models to recognize violation content on TikTok. Explore cutting‑edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT‑G, ViT‑22B, EVA‑enormous, etc.). Apply LLM techniques in business scenarios such as pre‑training, zero‑shot/few‑shot learning, and hard‑case mining. Continuously optimize the training framework to better adapt to the training of large models. Qualifications Minimum Qualifications Completing or recently completed a Bachelor’s or Master’s in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Relevant research experience in computer vision, multimodality, or large language models. Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow). Excellent analytical, problem‑solving, logical thinking, communication, and collaboration skills. Preferred Qualifications Published papers in accredited academic conferences or journals such as CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV. Job Information The base salary range for this position in the selected city is $124,717 - $243,200 annually. Compensation may vary outside of this range depending on a candidate’s qualifications, skills, competencies, and experience. Base pay is one part of the total package, and this role may be eligible for discretionary bonuses, incentives, and restricted stock units. Benefits include 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; and 17 days of Paid Personal Time prorated upon hire with increasing accruals by tenure. EEO Statement – Los Angeles County (unincorporated) 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. Criminal history may affect job duties and could result in withdrawal of a conditional offer. Relevant criteria include: (1) interacting with clients or colleagues; (2) handling confidential information; and (3) exercising sound judgment. #J-18808-Ljbffr TikTok