TikTok
TikTok

Machine Learning Engineer, TikTok - Business Governance

职能机器学习
级别中级
地点San Jose, Canada, United States
方式现场办公
类型Regular
发布今天
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职位介绍

  • About the Team
    We are building next-generation Trust & Safety systems powered by large language models and multimodal foundation models to protect Tik Tok, 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 Tik Tok, 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

Requirements:

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, Py Torch, 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

必备技能

Machine learning

Model evaluation

Data workflows

关于TikTok

San Jose

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