2 days ago

Applied Scientist Intern - 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: 4 hours agoStatus: Live

Job Summary

Work on TikTok Trust & Safety to build multimodal moderation foundation models and agentic moderation systems. Research and implement large-scale Mixture-of-Experts (MoE) training/routing, cross-modal alignment, and unified understanding/generation. Extend this with reinforcement learning for multi-step agent decision-making, tool ecosystems (MCP), and retrieval (GraphRAG), improving robustness across many languages and adversarial AIGC content.

Location: San Jose

Workplace: Onsite

Employment Type: Internship

Job Function: Research & Scientific (R&D)

Seniority: Intern level

Key Responsibilities

•Research and develop multimodal moderation foundation models, including large-scale MoE architecture training/routing optimization and cross-modal alignment.
•Build and improve synthetic data generation for moderation scenarios using approaches like self-play and adversarial augmentation.
•Develop agentic moderation systems using reinforcement learning to enable multi-step decision-making and tool-call strategies.
•Design context engineering and tool collaboration via MCP-based tool ecosystems and multi-source evidence fusion with GraphRAG retrieval.
•Evaluate and improve robustness through generalization across many languages/strategies and adversarial detection of AIGC content.

Key Requirements

•Currently pursuing a PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
•Strong understanding of cutting-edge LLM research (e.g., long context, multi modality, alignment research, agent ecosystem) with practical implementation experience as a plus.
•Proficiency in Python, Rust, or C++ and experience implementing deep learning systems with frameworks such as PyTorch, DeepSpeed, Megatron, or vLLM.
•Strong understanding of distributed computing and performance tuning/verification for training, finetuning, and inference; PEFT, RL, MoE, CoT, or LangChain familiarity is a plus.
•Ability to drive research projects from idea to implementation and produce tangible outcomes; published research contributions are a plus.

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

Website LinkedIn

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TikTok

2 days ago

Applied Scientist Intern - 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: 4 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Internship

Job Function: Research & Scientific (R&D)

Seniority: Intern level

Key Responsibilities

•Research and develop multimodal moderation foundation models, including large-scale MoE architecture training/routing optimization and cross-modal alignment.
•Build and improve synthetic data generation for moderation scenarios using approaches like self-play and adversarial augmentation.
•Develop agentic moderation systems using reinforcement learning to enable multi-step decision-making and tool-call strategies.
•Design context engineering and tool collaboration via MCP-based tool ecosystems and multi-source evidence fusion with GraphRAG retrieval.
•Evaluate and improve robustness through generalization across many languages/strategies and adversarial detection of AIGC content.

Key Requirements

•Currently pursuing a PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
•Strong understanding of cutting-edge LLM research (e.g., long context, multi modality, alignment research, agent ecosystem) with practical implementation experience as a plus.
•Proficiency in Python, Rust, or C++ and experience implementing deep learning systems with frameworks such as PyTorch, DeepSpeed, Megatron, or vLLM.
•Strong understanding of distributed computing and performance tuning/verification for training, finetuning, and inference; PEFT, RL, MoE, CoT, or LangChain familiarity is a plus.
•Ability to drive research projects from idea to implementation and produce tangible outcomes; published research contributions are a plus.

Skills:Problem-solvingCreative mindset

Tech Stack:PythonRustC++PyTorchDeepSpeedMegatronVLLMPEFTRLMoECoTLangChainGRPOPPOMCPGraphRAGGPU

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn