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

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: bachelorsSkills: ["Self-driven research mindset","Model training","System optimization"]

Work on next-generation e-commerce recommendation intelligence by building and optimizing cross-scenario foundation models. Contribute to an event-sequence-driven generative recommendation paradigm that integrates LLMs, multimodal understanding, reinforcement learning, and system optimization. Apply LLM technologies across retrieval, ranking, and re-ranking, participate in model training and inference optimization, 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

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Last checked: 12 hours agoStatus: Live

Job Summary

Work on next-generation e-commerce recommendation intelligence by building and optimizing cross-scenario foundation models. Contribute to an event-sequence-driven generative recommendation paradigm that integrates LLMs, multimodal understanding, reinforcement learning, and system optimization. Apply LLM technologies across retrieval, ranking, and re-ranking, participate in model training and inference optimization, 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 for 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; participate in model training, inference optimization, and system co-design.
  • •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

  • •Complete or recently completed a Bachelor's or Master's degree 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 such as PyTorch.
  • •Passion for intelligent recommendation systems and a self-driven research mindset.
  • •Able to commit to an onboarding date by the end of the year; clearly state availability and graduation date in the resume.
Experience:Recommendation systemsMachine learningDeep learningInformation retrievalLLMsMultimodal learningReinforcement learningGenerative recommendation
Education:Bachelor's in Software Development, Computer Science, Computer Engineering, or related technical discipline
Skills:Self-driven research mindsetModel trainingSystem optimization
Tech Stack:PythonPyTorchLLMsVLMsMultimodal 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