15 hours ago

Research Scientist Intern (Ads Integrity) - 2026 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Work with the TikTok Ads Business Integrity team to develop and deploy generative AI for content understanding and monetization. Build scalable machine learning models spanning LLMs, multimodal systems, and deepfake detection/synthesis, optimizing training and safety via methods like SFT and RLHF. Collaborate across disciplines to transition research breakthroughs into production-grade, low-latency, cost-effective AI services, and contribute to publications and open source.

Location: San Jose

Workplace: Onsite

Employment Type: Internship

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Lead R&D of advanced generative AI technologies, including LLMs, multimodal models, and deepfake detection/synthesis, optimizing across pre-training, SFT, RLHF, and AI safety.
•Design and deploy AIGC solutions for content understanding and monetization across ads, e-commerce, short video, and live streaming.
•Advance LLM-based agent capabilities using reinforcement learning for autonomous reasoning, planning, and interactive behavior.
•Improve efficiency of large-scale model training and inference using distillation, quantization, and speculative decoding for scalable production deployment.
•Collaborate with interdisciplinary teams to move research breakthroughs into production-grade AI services with robust, low-latency, cost-effective performance, and contribute to patents/publications/open source.

Key Requirements

•Current Ph.D. student in Computer Science, AI, Machine Learning, or related fields by 2026 (or equivalent industry experience).
•Strong foundational experience in deep learning, NLP, and generative models (e.g., LLMs, diffusion models).
•Hands-on experience with large-scale model training, RLHF, and multimodal learning (text, image, video).
•Proficiency in one or more deep learning frameworks such as PyTorch, JAX, or TensorFlow, with familiarity in distributed training.
•Interest in generative AI research and responsible AI (AI safety, alignment, adversarial robustness).

Experience:Machine learningGenerative AINLPMultimodalDeep learningDeepfake detectionLLMs

Education:PhD / Doctorate in Computer Science, AI, Machine Learning (or related fields)

Skills:ResearchCollaborationInterdisciplinary workProblem-solving

Tech Stack:LLMsMultimodal modelsText/image/videoDeepfake detection/synthesisPre-trainingSFTRLHFAI safetyAIGCReinforcement learningDistillationQuantizationSpeculative decodingPyTorchJAXTensorFlowDistributed trainingGenerative modelsDiffusion modelsLLM-based agents

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

15 hours ago

Research Scientist Intern (Ads Integrity) - 2026 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Internship

Job Function: Data Science & Machine Learning

Seniority: Intern level

Key Responsibilities

•Lead R&D of advanced generative AI technologies, including LLMs, multimodal models, and deepfake detection/synthesis, optimizing across pre-training, SFT, RLHF, and AI safety.
•Design and deploy AIGC solutions for content understanding and monetization across ads, e-commerce, short video, and live streaming.
•Advance LLM-based agent capabilities using reinforcement learning for autonomous reasoning, planning, and interactive behavior.
•Improve efficiency of large-scale model training and inference using distillation, quantization, and speculative decoding for scalable production deployment.
•Collaborate with interdisciplinary teams to move research breakthroughs into production-grade AI services with robust, low-latency, cost-effective performance, and contribute to patents/publications/open source.

Key Requirements

•Current Ph.D. student in Computer Science, AI, Machine Learning, or related fields by 2026 (or equivalent industry experience).
•Strong foundational experience in deep learning, NLP, and generative models (e.g., LLMs, diffusion models).
•Hands-on experience with large-scale model training, RLHF, and multimodal learning (text, image, video).
•Proficiency in one or more deep learning frameworks such as PyTorch, JAX, or TensorFlow, with familiarity in distributed training.
•Interest in generative AI research and responsible AI (AI safety, alignment, adversarial robustness).

Experience:Machine learningGenerative AINLPMultimodalDeep learningDeepfake detectionLLMs

Education:PhD / Doctorate in Computer Science, AI, Machine Learning (or related fields)

Skills:ResearchCollaborationInterdisciplinary workProblem-solving

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn