Machine Learning Engineer, Multimodal - Intelligent Integrity

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Self-learning","Problem-solving","Algorithm innovation","Partnership"]

Build next-generation multimodal content understanding and commercial intelligence systems to support TikTok monetization and ad ecosystem security. Work on ad content understanding and risk judgment using large models, LLM/MLLM and AIGC technologies for e-commerce and short-video ads. Develop interpretable decision traces, explore RL/agent approaches, and create scalable model training, fine-tuning, and inference deployments using PyTorch/TensorFlow and strong ML engineering practices.

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FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer, Multimodal - Intelligent Integrity

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Build next-generation multimodal content understanding and commercial intelligence systems to support TikTok monetization and ad ecosystem security. Work on ad content understanding and risk judgment using large models, LLM/MLLM and AIGC technologies for e-commerce and short-video ads. Develop interpretable decision traces, explore RL/agent approaches, and create scalable model training, fine-tuning, and inference deployments using PyTorch/TensorFlow and strong ML engineering practices.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Focus on ad content understanding and security, conducting algorithm R&D for large-model implementation and applying LLM/MLLM and AIGC technologies to e-commerce and short-video ad understanding.
  • •Advance multimodal understanding across text, audio, video, and live streaming; optimize model decision-making for high-accuracy autonomous risk judgment and implement interpretable CoT generation.
  • •Explore RL/agent applications for multimodal review scenarios, track AIGC trends, and deliver algorithm innovation plus engineering implementation aligned to commercial business needs.
  • •Develop dedicated multimodal content understanding models for ad intent recognition, rule retrieval, accurate risk judgment, and improved advertiser creation experience.
  • •Reduce non-compliant content non-detection risks and protect the ad ecosystem’s security.

Key Requirements

  • •Bachelor’s degree or above in CS, AI, Mathematics, Statistics or related fields, with 1+ year of algorithm R&D/project implementation experience in content understanding or AIGC.
  • •Strong ML/DL theoretical foundation, with in-depth understanding of LLM/MLLM, CV, NLP, multimodal fusion, and agent technologies.
  • •Hands-on experience with large model training, fine-tuning, and inference deployment.
  • •Proficiency in PyTorch or TensorFlow, with excellent engineering capabilities and mastery of Python and/or C++.
  • •Familiarity with multimodal large model principles and applications, with experience in content understanding, ad analysis, multimodal representation learning, or intelligent review preferred.
Experience:AIGCMultimodalContent understandingLLMsE-commerce
Education:Bachelor's in CS, AI, Mathematics, Statistics or related majors
Skills:Self-learningProblem-solvingAlgorithm innovationPartnership
Tech Stack:Machine LearningDeep LearningMLLMLLMPyTorchTensorFlowPythonC++Multimodal fusionAgent technologiesReinforcement LearningCVNLPLLM/MLLMAIGCCoT generationLarge model trainingFine-tuningInference deployment

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