Research Scientist - TikTok E-Commerce Recommendation Foundation

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Research mindset","Self-driven","Research thinking","Hypothesis validation","System optimization"]

Build and optimize cross-scenario foundation models for e-commerce recommendation, advancing an event-sequence-driven generative recommendation paradigm. Apply LLM technologies across retrieval, ranking, and re-ranking, and explore integrating LLMs/VLMs to create adaptive intelligent recommenders. Conduct end-to-end research on generative recommendation and system optimization to balance efficiency and user experience, collaborating on model training, inference optimization, and system co-design.

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FursaFursa
TikTok
TikTok
1 month ago

Research Scientist - TikTok E-Commerce Recommendation Foundation

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

Job Summary

Build and optimize cross-scenario foundation models for e-commerce recommendation, advancing an event-sequence-driven generative recommendation paradigm. Apply LLM technologies across retrieval, ranking, and re-ranking, and explore integrating LLMs/VLMs to create adaptive intelligent recommenders. Conduct end-to-end research on generative recommendation and system optimization to balance efficiency and user experience, collaborating on model training, inference optimization, and system co-design.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and optimize cross-scenario shared foundation models to enable unified modeling and efficient inference.
  • •Advance an event-sequence-driven generative recommendation paradigm with multimodal understanding and generative capabilities.
  • •Apply LLM technologies across retrieval, ranking, and re-ranking, including model training and inference optimization.
  • •Explore integrating LLMs/VLMs with recommendation systems to develop adaptive and evolving recommenders.
  • •Research end-to-end generative recommendation and system optimization methods balancing efficiency and user experience.

Key Requirements

  • •MS/PhD in Computer Science or a related technical field, or equivalent industrial research experience.
  • •Strong theoretical foundation in machine learning, deep learning, or information retrieval.
  • •Proficiency in Python and familiarity with mainstream deep learning frameworks (e.g., PyTorch).
  • •Strong passion for intelligent recommendation systems and a self-driven research mindset.
  • •Preferred: experience developing large-scale recommendation systems or training large models with notable technical achievements.
Experience:E-commerceRecommendation systemsLarge language modelsMultimodal learningReinforcement learningGenerative recommendationFoundation models
Education:
Skills:Research mindsetSelf-drivenResearch thinkingHypothesis validationSystem optimization
Tech Stack:PythonPyTorchLLMsVLMsFoundation ModelsMultimodal understandingReinforcement 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