Applied Scientist - Trust and Safety (Multimodal Foundation Model) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Problem-solving","Creative mindset"]

Build frontier multimodal trust & safety systems that protect users from harmful content. Work on a multimodal moderation foundation model using large-scale sparse MoE training and cross-modal alignment, and on agentic moderation that uses reinforcement learning for multi-step decision-making with tool ecosystems and interpretable reasoning. Tackle robustness across 200+ languages and adversarial AIGC attacks, and deliver research outcomes with real-world moderation feedback loops.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
TikTok
TikTok
1 month ago

Applied Scientist - Trust and Safety (Multimodal Foundation Model) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Build frontier multimodal trust & safety systems that protect users from harmful content. Work on a multimodal moderation foundation model using large-scale sparse MoE training and cross-modal alignment, and on agentic moderation that uses reinforcement learning for multi-step decision-making with tool ecosystems and interpretable reasoning. Tackle robustness across 200+ languages and adversarial AIGC attacks, and deliver research outcomes with real-world moderation feedback loops.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Graduate level

Key Responsibilities

  • •Develop multimodal moderation foundation model approaches using large-scale sparse MoE training and routing optimization.
  • •Advance agentic moderation systems using reinforcement learning for multi-step decision-making and tool-call strategies.
  • •Design context engineering and tool collaboration workflows, including MCP-based tool ecosystem construction and heterogeneous evidence fusion.
  • •Improve generalization and adversarial robustness for AIGC detection across multilingual and multimodal scenarios.
  • •Drive research projects from idea to implementation to produce tangible outcomes and research outputs.

Key Requirements

  • •Completing or recently completing a PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • •Strong understanding of cutting-edge LLM research, including long context, multimodality, alignment, and agent ecosystems.
  • •Proficiency in Python, Rust, or C++ with practical experience implementing deep learning systems.
  • •Experience with distributed computing performance tuning and verification for training, fine-tuning, and inference.
  • •Familiarity with PEFT, RL, MoE, CoT, or Langchain is a plus.
Education:PhD / Doctorate in Computer Science, Data Science, Artificial Intelligence (or related field)
Skills:Problem-solvingCreative mindset
Tech Stack:PythonRustC++PyTorchDeepSpeedMegatronVLLMPEFTRLMoECoTLangchainGRPOPPOMCPGraphRAGGPU

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