Research Scientist Intern– E-commerce Recommendation(LLM Applications) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

TikTok
San Jose
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: phdSkills: []

Work on TikTok Shop’s Global E-commerce recommendation engine by building a foundation large model and an agent framework for end-to-end decision-making. Tackle heterogeneous data fusion, cross-modal (multimodal) understanding, item tokenization, and collaboration between recommendation LLMs and world models. Optimize full-stack ML systems and infrastructure for improved recommendation quality, while focusing on evaluation, safety, and compliance for real-world e-commerce workflows.

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FursaFursa
TikTok
TikTok
1 month ago

Research Scientist Intern– E-commerce Recommendation(LLM Applications) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

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Last checked: 21 hours agoStatus: Live

Job Summary

Work on TikTok Shop’s Global E-commerce recommendation engine by building a foundation large model and an agent framework for end-to-end decision-making. Tackle heterogeneous data fusion, cross-modal (multimodal) understanding, item tokenization, and collaboration between recommendation LLMs and world models. Optimize full-stack ML systems and infrastructure for improved recommendation quality, while focusing on evaluation, safety, and compliance for real-world e-commerce workflows.
Location: San Jose
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Build an industry-leading recommendation system to improve user experience, content discovery, and platform security.
  • •Explore generative recommendation techniques, including Diffusion Models, prompt learning, and multimodal content generation.
  • •Build multi-model, cross-scenario systems enabling unified recommendations across livestreams, short videos, and search.
  • •Deliver end-to-end machine learning solutions for key product challenges by owning the full-stack ML system and optimizing algorithms and infrastructure.
  • •Collaborate with cross-functional teams to design product strategies and grow TikTok in important markets.

Key Requirements

  • •Currently pursuing a PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • •Strong foundation in machine learning and cutting-edge AI technologies; publications in top-tier conferences or competition experience are preferred.
  • •Familiarity with big data frameworks such as Hadoop, MapReduce, and Spark.
  • •Experience with TensorFlow or PyTorch for model training and deployment, including knowledge of mixed precision and distributed training acceleration.
  • •Knowledge of model compression and inference acceleration techniques such as quantization, pruning, distillation, and TensorRT optimization.
Experience:E-commerce
Education:PhD / Doctorate in Computer Science, Computer Engineering, or a related technical discipline
Tech Stack:TensorFlowPyTorchHadoopMapReduceSparkTensorRTMixed precisionDistributed trainingDiffusion ModelsRLVRMultimodal modelsLLMsAgent frameworkQuantizationPruningDistillationOCRGraph neural networksUnsupervised learningSelf-supervised learning

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