Research Scientist - TikTok E-Commerce Recommendation Foundation

TikTok
Seattle
Full timeFunction: Data Science & Machine LearningSkills: ["Self-driven","Research mindset","Innovation","Systems thinking","Collaboration"]

Join the E-commerce Recommendation Foundation team to build next-generation recommendation intelligence. You’ll develop unified foundation models across retrieval, ranking, and re-ranking, and advance an event-sequence-driven generative recommendation paradigm. Work with LLMs and multimodal understanding, reinforcement learning, and system optimization to create adaptive intelligent recommenders and research end-to-end generative recommendation methods balancing efficiency and user experience.

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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

Join the E-commerce Recommendation Foundation team to build next-generation recommendation intelligence. You’ll develop unified foundation models across retrieval, ranking, and re-ranking, and advance an event-sequence-driven generative recommendation paradigm. Work with LLMs and multimodal understanding, reinforcement learning, and system optimization to create adaptive intelligent recommenders and research end-to-end generative recommendation methods balancing efficiency and user experience.
Location: Seattle
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and optimize cross-scenario shared foundation models for 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, inference optimization, and system co-design.
  • •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 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 such as PyTorch.
  • •Strong passion for intelligent recommendation systems and a self-driven research mindset.
  • •Experience with large-scale recommendation systems or large-model training, with notable technical achievements, and/or research publications in related areas (LLMs, multimodal learning, reinforcement learning, generative recommendation).
Experience:Machine learningDeep learningInformation retrievalRecommendation systemsLarge language modelsMultimodal learningReinforcement learningGenerative AI
Skills:Self-drivenResearch mindsetInnovationSystems thinkingCollaboration
Tech Stack:PythonPyTorchLLMsVLMsMultimodal understandingReinforcement learningFoundation modelsInformation retrievalRetrievalRankingRe-rankingModel trainingInference optimizationSystem co-design

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