Job description

- About the Team We are building next-generation Trust & Safety systems powered by large language models and multimodal foundation models to protect TikTok, Lemon8, and short-form video platforms. Our team focuses on multimodal reasoning, content understanding, and large-scale risk detection across text, image, audio, and video. We actively explore and productionize cutting-edge technologies such as LLM post-training, multimodal models, and AI Agents to build intelligent, scalable, and adaptive content moderation systems. - Responsibilities - What You'II Do - Develop content safety algorithms for TikTok, Lemon8, and short-form drama platforms, covering multimodal understanding and risk detection across video, text, image, and audio - Leverage machine learning, deep learning, and large model technologies to improve content moderation pipelines, enhance operational efficiency, and ensure model robustness and production stability - Own the training and application of LLMs and MLLMs for content safety use cases, including post-training techniques such as SFT, RLHF, DPO, and safety alignment - Drive the exploration and productionization of emerging capabilities such as AI Agents, multimodal reasoning, and video understanding to build next-generation intelligent moderation systems Minimum Qualifications: - Bachelor degree or above in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or related fields - Strong understanding of machine learning and deep learning, with familiarity with Transformer architectures, LLMs, and MLLMs - Hands-on experience in Python, PyTorch, distributed training, and large-scale data processing, with solid algorithmic and engineering capabilities - Proven ability to solve complex problems and collaborate effectively in cross-functional teams, with a track record of driving projects to high-quality execution Preferred Qualifications: - Hands-on experience with LLM post-training, multimodal understanding, AI Agents, or Trust & Safety systems is desirable - Publications in academic conferences such as NeurIPS、ICML、ICLR、CVPR、ECCV、ICCV、ACL、EMNLP、NAACL、Interspeech、ICASSP, and others are a strong plus

Requirements

Must-haves

About the Team
Responsibilities - What You'II Do
Develop content safety algorithms for TikTok, Lemon8, and short-form drama platforms, covering multimodal understanding and risk detection across video, text, image, and audio
Leverage machine learning, deep learning, and large model technologies to improve content moderation pipelines, enhance operational efficiency, and ensure model robustness and production stability
Own the training and application of LLMs and MLLMs for content safety use cases, including post-training techniques such as SFT, RLHF, DPO, and safety alignment
Drive the exploration and productionization of emerging capabilities such as AI Agents, multimodal reasoning, and video understanding to build next-generation intelligent moderation systems
Bachelor degree or above in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or related fields
Strong understanding of machine learning and deep learning, with familiarity with Transformer architectures, LLMs, and MLLMs
Hands-on experience in Python, PyTorch, distributed training, and large-scale data processing, with solid algorithmic and engineering capabilities
Proven ability to solve complex problems and collaborate effectively in cross-functional teams, with a track record of driving projects to high-quality execution

Nice-to-haves

Hands-on experience with LLM post-training, multimodal understanding, AI Agents, or Trust & Safety systems is desirable
Publications in academic conferences such as NeurIPS、ICML、ICLR、CVPR、ECCV、ICCV、ACL、EMNLP、NAACL、Interspeech、ICASSP, and others are a strong plus

Application prep

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Keywords to mirror

llmaimachine learningpython

Platform: tiktok
Effort: medium