Senior Research Scientist, TikTok - Trust and Safety

TikTok
San Jose
Full timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Problem-solving","Coding","Debugging","Learning agility","Communication","Collaboration","Self-driven","Initiative","Technical breakthroughs"]

Build and deploy foundation models for Trust & Safety, including LLM/VLM systems that improve risk detection, compliance understanding, and moderation automation. Tackle multilingual, multimodal, and low-resource challenges with stronger zero-shot/few-shot generalization, and develop multimodal safety annotation frameworks. Partner across infrastructure, data, platform, product, policy, and recommendations to optimize training pipelines, serving efficiency, and model interpretability while evolving with safety policies.

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FursaFursa
TikTok
TikTok
1 month ago

Senior Research Scientist, TikTok - Trust and Safety

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and deploy foundation models for Trust & Safety, including LLM/VLM systems that improve risk detection, compliance understanding, and moderation automation. Tackle multilingual, multimodal, and low-resource challenges with stronger zero-shot/few-shot generalization, and develop multimodal safety annotation frameworks. Partner across infrastructure, data, platform, product, policy, and recommendations to optimize training pipelines, serving efficiency, and model interpretability while evolving with safety policies.
Location: San Jose
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the design, training, and deployment of foundation models (LLM/VLM) for content safety across modalities, improving risk detection and moderation automation.
  • •Improve multilingual, multimodal, and low-resource performance by enhancing zero-shot and few-shot generalization across safety domains.
  • •Design and maintain a multimodal safety annotation framework to generate high-quality training data and evaluation signals for image and video understanding.
  • •Explore and implement RLHF strategies to fine-tune model alignment with evolving safety policies and user intent.
  • •Collaborate with infra, data, platform, and product/policy/recommendation teams to integrate safety models into moderation workflows and optimize training and serving efficiency.

Key Requirements

  • •Solid experience in traditional machine learning with 2+ years of research or development experience on large models.
  • •Passion for technology and ability to dive deep into coding and debugging.
  • •Strong problem-solving skills with a proven track record of technical breakthroughs and business impact.
  • •Ability to stay up-to-date with advances in multimodal large models and strong learning and communication skills.
  • •Team-oriented mindset and willingness to explore new technologies and drive continuous technical evolution.
Experience:2+ yearsMachine learningLarge modelsNLPComputer visionMultimodal AIAI research
Skills:Problem-solvingCodingDebuggingLearning agilityCommunicationCollaborationSelf-drivenInitiativeTechnical breakthroughs
Tech Stack:Machine learningLarge modelsFoundation modelsLLMVLMNLPCVMultimodalMultilingualZero-shotFew-shotRLHFTraining pipelinesModel servingGPUAnnotation frameworkSafety modelsContent safetyModeration automation

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn