Large Recommendation Model Algorithm Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: phdSkills: []

Build and optimize cross-scenario foundation models for e-commerce recommendation, advancing an event-sequence-driven generative recommendation paradigm. Integrate LLMs and multimodal capabilities across retrieval, ranking, and re-ranking, and contribute to training and inference optimization. Explore LLM/VLM integration with recommenders and research end-to-end generative recommendation methods that balance efficiency and user experience.

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FursaFursa
TikTok
TikTok
1 day ago

Large Recommendation Model Algorithm Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)

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Last checked: 12 hours agoStatus: Live

Job Summary

Build and optimize cross-scenario foundation models for e-commerce recommendation, advancing an event-sequence-driven generative recommendation paradigm. Integrate LLMs and multimodal capabilities across retrieval, ranking, and re-ranking, and contribute to training and inference optimization. Explore LLM/VLM integration with recommenders and research end-to-end generative recommendation methods that balance efficiency and user experience.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Graduate level

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 stages, including 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

  • •Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • •Solid 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.
  • •Ability to commit to an onboarding date by the end of the year and state availability and graduation date in your resume.
Experience:E-commerceRecommendation systemsFoundation modelsLLMsMultimodal learningReinforcement learningGenerative recommendation
Education:PhD / Doctorate
Tech Stack:PythonPyTorchLLMsVLMsMultimodal understandingReinforcement learningFoundation modelsRetrievalRankingRe-rankingDeep learningInformation retrieval

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