Large Recommend Model Algorithm Engineer - Global E-Commerce

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Research mindset","Self-driven","Problem-solving"]

Build next-generation e-commerce recommendation intelligence by developing cross-scenario foundation models that unify retrieval, ranking, and re-ranking. Advance an event-sequence-driven generative recommendation paradigm with LLMs, multimodal understanding, reinforcement learning, and system optimization. Apply LLM/VLM technologies across the recommendation pipeline, participate in training and inference optimization, and research end-to-end methods that balance efficiency and user experience.

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FursaFursa
TikTok
TikTok
1 month ago

Large Recommend Model Algorithm Engineer - Global E-Commerce

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build next-generation e-commerce recommendation intelligence by developing cross-scenario foundation models that unify retrieval, ranking, and re-ranking. Advance an event-sequence-driven generative recommendation paradigm with LLMs, multimodal understanding, reinforcement learning, and system optimization. Apply LLM/VLM technologies across the recommendation pipeline, participate in training and inference optimization, and research end-to-end methods that balance efficiency and user experience.
Location: Singapore
Workplace: Onsite
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 and inference optimization.
  • •Explore integrating LLMs/VLMs with recommendation systems to develop adaptive, evolving recommenders.
  • •Research end-to-end generative recommendation and system optimization methods balancing efficiency and user experience.

Key Requirements

  • •Strong theoretical foundation in machine learning, deep learning, or information retrieval.
  • •Proficiency in Python and familiarity with deep learning frameworks such as PyTorch.
  • •Strong passion for intelligent recommendation systems and a self-driven research mindset.
  • •Experience developing large-scale recommendation systems or training large models with notable technical achievements.
  • •Research experience or publications in LLMs, multimodal learning, reinforcement learning, or generative recommendation.
Skills:Research mindsetSelf-drivenProblem-solving
Tech Stack:PythonPyTorchMachine learningDeep learningLarge language models (LLMs)Multimodal understandingReinforcement learningFoundation modelsVLMsGenerative recommendationInformation 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