Machine Learning Engineer, TikTok - Business Governance

TikTok
San Jose
Full timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Cross-functional collaboration"]

Build next-generation Trust & Safety systems for TikTok, Lemon8, and short-form video, using large language models and multimodal foundation models. Develop content safety algorithms across text, image, audio, and video; improve content moderation pipelines with deep learning; and own LLM/MLLM training and post-training (SFT, RLHF, DPO, safety alignment). Explore and productionize AI agents, multimodal reasoning, and video understanding for scalable, robust moderation.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer, TikTok - Business Governance

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Build next-generation Trust & Safety systems for TikTok, Lemon8, and short-form video, using large language models and multimodal foundation models. Develop content safety algorithms across text, image, audio, and video; improve content moderation pipelines with deep learning; and own LLM/MLLM training and post-training (SFT, RLHF, DPO, safety alignment). Explore and productionize AI agents, multimodal reasoning, and video understanding for scalable, robust moderation.
Location: San Jose
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •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 and ensure model robustness in production.
  • •Own training and application of LLMs and MLLMs for content safety, including post-training techniques such as SFT, RLHF, DPO, and safety alignment.
  • •Drive exploration and productionization of emerging capabilities like AI Agents, multimodal reasoning, and video understanding to build intelligent moderation systems.

Key Requirements

  • •Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or a related field.
  • •Strong understanding of machine learning and deep learning, including Transformer architectures, LLMs, and MLLMs.
  • •Hands-on experience with Python, PyTorch, distributed training, and large-scale data processing with solid algorithmic and engineering capabilities.
  • •Proven ability to solve complex problems and collaborate effectively across cross-functional teams.
  • •Desirable: hands-on experience with LLM post-training, multimodal understanding, AI Agents, or Trust & Safety systems.
Experience:Trust & SafetyContent moderationLLM post-trainingMultimodal modelsAI Agents
Education:Bachelor's in Computer Science, Software Engineering, Artificial Intelligence, Mathematics (or related fields)
Skills:Problem-solvingCross-functional collaboration
Tech Stack:PythonPyTorchTransformer architecturesLLMsMLLMsDistributed trainingLarge-scale data processingSFTRLHFDPOSafety alignmentMultimodal modelsAI AgentsMultimodal reasoningVideo understanding

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