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

TikTok
Singapore
Workplace: OnsiteInternshipFunction: Research & Scientific (R&D)Education: phdSkills: ["Research mindset","Self-driven","Critical thinking","Collaboration","Problem-solving"]

Join the E-commerce Recommendation Foundation team to help build a unified foundation model for multi-business, multi-scenario recommendations. You’ll advance an event-sequence-driven generative recommendation paradigm by integrating LLMs and multimodal understanding across retrieval, ranking, and re-ranking, while contributing to training, inference optimization, and system co-design. You’ll also research end-to-end generative recommendation and optimization methods that balance efficiency and user experience.

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FursaFursa
TikTok
TikTok
1 day ago

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

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Last checked: 12 hours agoStatus: Live

Job Summary

Join the E-commerce Recommendation Foundation team to help build a unified foundation model for multi-business, multi-scenario recommendations. You’ll advance an event-sequence-driven generative recommendation paradigm by integrating LLMs and multimodal understanding across retrieval, ranking, and re-ranking, while contributing to training, inference optimization, and system co-design. You’ll also research end-to-end generative recommendation and optimization methods that balance efficiency and user experience.
Location: Singapore
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern 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 integrating multimodal understanding and generative capabilities.
  • •Apply LLM technologies across retrieval, ranking, and re-ranking, contributing to model training, inference optimization, and system co-design.
  • •Explore integration of LLMs/VLMs with recommendation systems to develop adaptive and evolving recommenders.
  • •Research end-to-end generative recommendation and system optimization methods that balance efficiency and user experience.

Key Requirements

  • •Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • •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 with a self-driven research mindset.
Education:PhD / Doctorate in Software Development, Computer Science, Computer Engineering, or related technical discipline
Skills:Research mindsetSelf-drivenCritical thinkingCollaborationProblem-solving
Tech Stack:PythonPyTorchLLMsVLMsMultimodal understandingReinforcement learningFoundation modelsRecommendation systemsInformation retrievalDeep 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